US20220034651A1 - Energy optimized imaging system with synchronized dynamic control of directable beam light source and reconfigurably masked photo-sensor - Google Patents

Energy optimized imaging system with synchronized dynamic control of directable beam light source and reconfigurably masked photo-sensor Download PDF

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US20220034651A1
US20220034651A1 US17/495,000 US202117495000A US2022034651A1 US 20220034651 A1 US20220034651 A1 US 20220034651A1 US 202117495000 A US202117495000 A US 202117495000A US 2022034651 A1 US2022034651 A1 US 2022034651A1
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Prior art keywords
sensor
scene
light source
sequence
pixels
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US17/495,000
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Srinivasa Narasimhan
Supreeth Achar
Matthew O'Toole
Kiriakos Neoklis KUTULAKOS
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University of Toronto
Carnegie Mellon University
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University of Toronto
Carnegie Mellon University
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Priority claimed from PCT/US2016/017942 external-priority patent/WO2016131036A1/en
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Priority to US17/495,000 priority Critical patent/US20220034651A1/en
Assigned to THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO reassignment THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: O'TOOLE, Matthew, KUTULAKOS, KIRIAKOS NEOKLIS
Assigned to CARNEGIE MELLON UNIVERSITY reassignment CARNEGIE MELLON UNIVERSITY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ACHAR, Supreeth, NARASIMHAN, SRINIVASA
Publication of US20220034651A1 publication Critical patent/US20220034651A1/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/89Lidar systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2513Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object with several lines being projected in more than one direction, e.g. grids, patterns
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2518Projection by scanning of the object
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2545Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object with one projection direction and several detection directions, e.g. stereo
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • G01S17/08Systems determining position data of a target for measuring distance only
    • G01S17/10Systems determining position data of a target for measuring distance only using transmission of interrupted, pulse-modulated waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • G01S17/42Simultaneous measurement of distance and other co-ordinates
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/481Constructional features, e.g. arrangements of optical elements
    • G01S7/4817Constructional features, e.g. arrangements of optical elements relating to scanning
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B15/00Special procedures for taking photographs; Apparatus therefor
    • G03B15/02Illuminating scene
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B17/00Details of cameras or camera bodies; Accessories therefor
    • G03B17/48Details of cameras or camera bodies; Accessories therefor adapted for combination with other photographic or optical apparatus
    • G03B17/54Details of cameras or camera bodies; Accessories therefor adapted for combination with other photographic or optical apparatus with projector
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B21/00Projectors or projection-type viewers; Accessories therefor
    • G03B21/14Details
    • G03B21/20Lamp housings
    • G03B21/2006Lamp housings characterised by the light source
    • G03B21/2033LED or laser light sources
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B7/00Control of exposure by setting shutters, diaphragms or filters, separately or conjointly
    • G03B7/16Control of exposure by setting shutters, diaphragms or filters, separately or conjointly in accordance with both the intensity of the flash source and the distance of the flash source from the object, e.g. in accordance with the "guide number" of the flash bulb and the focusing of the camera
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/271Image signal generators wherein the generated image signals comprise depth maps or disparity maps
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/65Control of camera operation in relation to power supply
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/74Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/30Transforming light or analogous information into electric information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3129Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM] scanning a light beam on the display screen
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/521Depth or shape recovery from laser ranging, e.g. using interferometry; from the projection of structured light

Definitions

  • the brightness of the source is just one way to control the amount of light that reaches the sensor of a computational imaging system.
  • Modern systems use an arrangement of devices to transport light from a source to the scene (or from the scene to sensor) and these devices (galvanometers, digital micro-mirror devices, liquid-crystal panels, phase modulators, etc.) are often programmable. However, these devices in the currently used configurations are also inefficient in their power consumption.
  • a light source In this ubiquitous configuration, the light source is always turned on, and, while the energy efficiency of light sources have greatly increased over time, having the light source always turned on is still a major source of power consumption.
  • the controllable light-blocking mask is used to selectively light the scene to be captured by the photo-sensor. This practice is not energy efficient, however, due to the fact that photons that are being generated are simply blocked within the system.
  • This invention introduces an energy optimized imaging system that captures images using one or more directable beam light sources synchronized with one or more active pixel selectable photosensors.
  • this invention can perform numerous imaging techniques that are either not possible with current technology, or are possible with current technology but would require far more optical components, far more expense, far more computation, and/or far more power consumption.
  • This invention can demonstrate several never-seen-before capabilities. For instance, live structured-light video of very bright scenes can be captured, even, for example, a light bulb that is on.
  • the invention can also capture epipolar-only and indirect-only live video with optimal energy efficiency.
  • the invention can measure the 3D shape of objects in challenging conditions, such as strong indirect light, strong ambient light, and smoke while using a low-power projector as the light source. Also, the invention can record live video from the point of view of a projector, rather than a photosensor.
  • FIG. 1 shows a functional block diagram of the imaging system.
  • FIGS. 2A-2B illustrate the extremes of projector technologies.
  • FIG. 2A is a representation of the low end of the efficiency spectrum, where the light source is always on, blocked with mask p.
  • FIG. 2B represents the most efficient projector, able to concentrate all the energy of the light source to just one pixel.
  • FIG. 3 illustrates the preferred embodiment of the invention wherein a light source and a sensor are arranged in a rectified stereo configuration.
  • FIG. 4A shows the epipolar component of an image of an object
  • FIG. 4B shows the non-epipolar component of an image of the same object.
  • a widely known truth in the field of image capture is that to optimally capture images with the most detail and least noise, the light throughput between the light source and the photosensor must be optimized.
  • This invention implements this maxim while at the same time allowing for selective blocking of light paths between the light source and photosensor.
  • the system topology that results from this optimization also allows for never-seen-before imaging techniques and energy efficiency.
  • FIG. 1 There are three main parts to the invention as currently implemented, interconnected as shown in FIG. 1 : a directable light source 10 , a sensor 15 and, crucial to this invention, a synchronizing controller 20 that synchronizes the active region of sensor 15 to the beam direction of light source 10 in accordance with an optimizing equation, discussed below.
  • the term “directable light source” is a controllable light source that emits different amounts of light in different directions, where each pixel in the projector corresponds to a direction along which a slightly diverging beam is emitted. By changing the amount of light emitted along each direction, the projected pattern can be changed.
  • SLM spatial light modulator
  • scanning projectors There are two broad classes of projectors, spatial light modulator (SLM) based projectors and scanning projectors.
  • SLM projectors are of the type shown in FIG. 2A , and consists of a 2D array of controllable elements, one element for each pixel.
  • the elements can be controlled to either block/reflect light (a digital micro-mirror device (DMD)) or block/transmit light (liquid crystal display (LCD) or liquid crystal on silicon (LCoS)).
  • DMD digital micro-mirror device
  • LCD liquid crystal display
  • LCD liquid crystal on silicon
  • the projector has a light source inside along with optics to focus that light onto the entire field of the SLM.
  • the SLM elements By controlling the SLM elements, one can change the spatial light pattern the projector sends out.
  • Scanning projectors are of the type shown in FIG. 2B and internally have a light source, some optics that focuses the light into a narrow beam and a some type of controllable mirror that deflects the beam.
  • the projector By rapidly changing the mirror deflection and simultaneously modulating the light power of the internal source, the projector is able to ‘draw’ a spatial pattern. With this type of projector only one direction (or pixel) is being illuminated at any point of time, but this direction changes very quickly.
  • the mirror deflects the beam along a rasterized path (i.e., scans across one row at a time and proceeds row-by-row). This is a raster scanning laser projector.
  • light source As used herein, the terms “light source”, “directable light source” and “projector” are used interchangeably.
  • Phase measuring light sensors can be used for measuring distance based on continuous wave time-of-flight
  • Dynamic vision Sensors DVS
  • photodiode arrays and avalanche photodiode arrays are high speed, high sensitivity light sensors that are often used for impulse time-of-flight measurements (flash LIDARS).
  • flash LIDARS impulse time-of-flight measurements
  • basic CMOS and CCD sensors may be used.
  • a scanning projector of the type using a LASER-based projector with a beam steering mechanism, for example, a MEMS mirror, is used as the directable light source, and the sensor is preferably a light sensitive photosensor with a rolling shutter.
  • light source 10 can be controlled to illuminate a specific point, line, or area of a scene to be imaged.
  • Sensor 15 contains a grid of light-sensitive pixels.
  • the rolling shutter of the photosensor captures an image by rapidly scanning the scene one row (or column) of pixels at a time. By synchronizing these, at any point of time, the light can selectively illuminate just the part of the scene that will be scanned by the photo-sensor. This optimizes the energy required to image the scene.
  • the goal of the invention is to maximize the total energy that can be transmitted from individual projector pixels to individual sensor pixels.
  • the illumination vector l is used to describe how the total energy of a projector is distributed over N individual pixels.
  • each element of l measures the total energy emitted by the source through a specific projector pixel during the exposure time.
  • the l 1 -norm of l is therefore equal to the total “useful” energy of the source, i.e., the energy actually used for scene illumination. This energy cannot be larger than the energy generated by the source:
  • ⁇ 1 is the l 1 -norm, giving the sum of all elements of a vector.
  • the energy efficiency of a projector depends critically on its ability to direct a maximum amount of the energy generated by the light source 10 to individual pixels. This ability is expressed as an upper bound on the individual elements of l:
  • is a projector-specific parameter defined as the spatial spread. This parameter takes values between 1 and N and models energy redistribution. The larger its value, the lower the energy that can be sent through any one pixel, and the more energy wasted when projecting a pattern with just few pixels turned on.
  • depends on the projection technology.
  • ⁇ ⁇ is the max of two norms and therefore also a norm.
  • mask m which is bounded from 0 to 1.
  • the combined effect of the mask and illumination pattern can be represented as the outer product matrix of two vectors:
  • matrix ⁇ can be thought of as defining a non-uniform spatial light distribution that concentrates energy usable for imaging in some parts of space and not in others. Energy utilization is maximized when both the illumination pattern and the mask reach their norm upper bounds, ⁇ m ⁇ ⁇ ⁇ I ⁇ ⁇ .
  • is a regularization parameter that balances energy efficiency and the reproduction of ⁇ . This allows for finding M & L that will saturate their upper-bound constraints, and hence a fully illuminated matrix ⁇ .
  • Illumination codes that maximize the energy efficiency are the impulse illuminations, like those of FIG. 2B .
  • This is replicated in the invention by the use of the a LASER-based projector, preferably an ultra-low power LASER, with a MEMS mirror to provide beam steering as depicted in FIG. 1 as light source 10 .
  • the light source and the sensor must be configured using a rectified stereo configuration, as shown in FIG. 3 .
  • the sensor masks are ideally chosen such that for each projector scan line, only the corresponding row in the sensor is exposed. In reality, a single illuminated line in the projector may be mapped to multiple lines in the sensor.
  • the masks can be implemented easily using the rolling shutter setup by placing the projector and sensor in an approximate stereo configuration such that their optical axes are parallel to each other, perpendicular to the baseline and the scanlines of the projector and rows of the sensor are parallel to the baseline.
  • the epipolar lines between the projector and sensor are horizontal lines. For any projector scanline the row of pixels in the sensor image along which the corresponding points must lie can be identified.
  • the exposure t e for each sensor row is matched to the time the projector stays on a scanline (t p ) and the other timing parameters are chosen so that the line scanned by the projector is synchronized to the row being exposed in the sensor.
  • the sensor exposure time is set to be t p less than the projector cycle time and the trigger is offset by t p so that every row is exposed for the entire projector cycle except during the time it is illuminated directly by the projector.
  • This energy optimized imaging system also has unique capabilities that are not possible in other imaging systems.
  • the rolling shutter of sensor 15 is tuned by synchronization controller 20 for the impulse illuminations of light source 10 , very little ambient light is let into the sensor. This allows the invention to image extremely bright objects and scenes under bright ambient illumination. With current technology imaging systems, light from a controlled light source would be overwhelmed by ambient light and would not be detectable at the photosensor.
  • the rolling shutter of sensor 15 is aligned solely to the light source 10 , reflections and scattered light that are caused by the object (such as if the object was mirrored, shiny, metallic, translucent, etc.) are not captured in the frame. Note that the rolling shutter of sensor 15 can purposely be offset from the source illumination so that only the reflections are captured.
  • This ability to not image reflections, scattered light and ambient light also gives the invention the ability to image and recover the shape of objects that are in challenging lighting conditions, specifically smoke or mist filled surroundings.
  • Using the source illumination-to-photo-sensor disparity offset can allow for three-dimensional reconstruction within such lighting challenged areas.
  • controller 20 could be implemented as circuitry, as an ASIC, as a microprocessor running software, or by any other means known in the art.
  • the invention is not intended to be limited to one method of implementing the functions of the controller.
  • Dual photography a technique where the image generated is from the viewpoint of the light source rather than the photosensor, is also possible, even in a live video context, with no processing required.
  • the illumination technique used in this invention can be expanded to multiple photosensors. This allows for highly power efficient active illumination stereo using two or more photosensors.
  • the technique also extends naturally to configurations with multiple light sources. Different light sources interfere with each other minimally when used with the proposed technique. With inter-source synchronization, interference can be eliminated completely.
  • the proposed technique can be realized with a time-of-flight (ToF) photosensor.
  • a rolling shutter ToF photosensor combined with a modulated scanning laser light source using our technique would allow for a power efficient ToF depth sensor that works under bright ambient light conditions and suppresses indirect lighting effects.
  • the invention can be used with other imaging modalities including, but not limited to, light field imaging, microscopy, polarization, coherent, nonlinear, fluorescent and non-linear imaging.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Optics & Photonics (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Theoretical Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Description

    RELATED APPLICATIONS
  • This application is a divisional application filed under 35 U.S.C. § 121 of U.S. patent application Ser. No. 16/516,664, filed Jul. 19, 2019, which is a continuation of U.S. patent application Ser. No. 15/545,391, filed Jul. 21, 2017, which is a filing under section 371 of PCT Application No. PCT/US16/17942, filed Feb. 15, 2016, which claims the benefit of U.S. Provisional Patent Application No. 62/176,352, filed Feb. 13, 2015.
  • GOVERNMENT RIGHTS
  • This invention was made with government support under National Science Foundation No. IIS317749 and Army/ARO No. W911NF-10-2-0016. The government has certain rights in this invention.
  • BACKGROUND OF THE INVENTION
  • When an image is captured under controlled lighting, the power of the light source has great impact on the result. All things being equal, brighter sources will send more photons to the sensor during an exposure, producing a brighter and less noisy image.
  • The brightness of the source, however, is just one way to control the amount of light that reaches the sensor of a computational imaging system. Modern systems use an arrangement of devices to transport light from a source to the scene (or from the scene to sensor) and these devices (galvanometers, digital micro-mirror devices, liquid-crystal panels, phase modulators, etc.) are often programmable. However, these devices in the currently used configurations are also inefficient in their power consumption.
  • Studies of this problem began in the 1960s for arrangements of just the three main active components; a light source, a controllable light-blocking mask, and a photo-sensor. In this ubiquitous configuration, the light source is always turned on, and, while the energy efficiency of light sources have greatly increased over time, having the light source always turned on is still a major source of power consumption. The controllable light-blocking mask is used to selectively light the scene to be captured by the photo-sensor. This practice is not energy efficient, however, due to the fact that photons that are being generated are simply blocked within the system.
  • SUMMARY OF THE INVENTION
  • This invention introduces an energy optimized imaging system that captures images using one or more directable beam light sources synchronized with one or more active pixel selectable photosensors.
  • By synchronizing control of both a light source that has the ability to illuminate a specific area(s) along with a photosensor having a configurable mask having the ability to mask specific pixels, this invention can perform numerous imaging techniques that are either not possible with current technology, or are possible with current technology but would require far more optical components, far more expense, far more computation, and/or far more power consumption.
  • This invention can demonstrate several never-seen-before capabilities. For instance, live structured-light video of very bright scenes can be captured, even, for example, a light bulb that is on. The invention can also capture epipolar-only and indirect-only live video with optimal energy efficiency. The invention can measure the 3D shape of objects in challenging conditions, such as strong indirect light, strong ambient light, and smoke while using a low-power projector as the light source. Also, the invention can record live video from the point of view of a projector, rather than a photosensor.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 shows a functional block diagram of the imaging system.
  • FIGS. 2A-2B illustrate the extremes of projector technologies. FIG. 2A is a representation of the low end of the efficiency spectrum, where the light source is always on, blocked with mask p. FIG. 2B represents the most efficient projector, able to concentrate all the energy of the light source to just one pixel.
  • FIG. 3 illustrates the preferred embodiment of the invention wherein a light source and a sensor are arranged in a rectified stereo configuration.
  • FIG. 4A shows the epipolar component of an image of an object, while FIG. 4B shows the non-epipolar component of an image of the same object.
  • DETAILED DESCRIPTION OF THE INVENTION
  • A widely known truth in the field of image capture is that to optimally capture images with the most detail and least noise, the light throughput between the light source and the photosensor must be optimized. This invention implements this maxim while at the same time allowing for selective blocking of light paths between the light source and photosensor. The system topology that results from this optimization also allows for never-seen-before imaging techniques and energy efficiency.
  • There are three main parts to the invention as currently implemented, interconnected as shown in FIG. 1: a directable light source 10, a sensor 15 and, crucial to this invention, a synchronizing controller 20 that synchronizes the active region of sensor 15 to the beam direction of light source 10 in accordance with an optimizing equation, discussed below.
  • As used herein, the term “directable light source” is a controllable light source that emits different amounts of light in different directions, where each pixel in the projector corresponds to a direction along which a slightly diverging beam is emitted. By changing the amount of light emitted along each direction, the projected pattern can be changed. There are two broad classes of projectors, spatial light modulator (SLM) based projectors and scanning projectors.
  • SLM projectors are of the type shown in FIG. 2A, and consists of a 2D array of controllable elements, one element for each pixel. Depending on the type of SLM, the elements can be controlled to either block/reflect light (a digital micro-mirror device (DMD)) or block/transmit light (liquid crystal display (LCD) or liquid crystal on silicon (LCoS)). The projector has a light source inside along with optics to focus that light onto the entire field of the SLM. By controlling the SLM elements, one can change the spatial light pattern the projector sends out. In the equations shown herein, these projectors have σ=N, where N is the number of pixels. This type of projector is very inefficient when projecting patterns where only a small number of pixels are illuminated (a pattern containing a single line for instance) because most of the light needs to be blocked by the SLM to create the pattern.
  • Scanning projectors are of the type shown in FIG. 2B and internally have a light source, some optics that focuses the light into a narrow beam and a some type of controllable mirror that deflects the beam. By rapidly changing the mirror deflection and simultaneously modulating the light power of the internal source, the projector is able to ‘draw’ a spatial pattern. With this type of projector only one direction (or pixel) is being illuminated at any point of time, but this direction changes very quickly. In the projector used in the preferred embodiment of the invention, the mirror deflects the beam along a rasterized path (i.e., scans across one row at a time and proceeds row-by-row). This is a raster scanning laser projector. In the equations shown herein, scanning projectors can be thought of as projectors with σ=1. This type of projector is efficient when projecting patterns where only a small number of pixels are illuminated.
  • As used herein, the terms “light source”, “directable light source” and “projector” are used interchangeably.
  • Also, in the preferred embodiments of the invention, various types of sensors may be used. Phase measuring light sensors (example photonic mixing devices or PMDs) can be used for measuring distance based on continuous wave time-of-flight; Dynamic vision Sensors (DVS) are sensors that are sensitive to changes in light levels; and photodiode arrays and avalanche photodiode arrays are high speed, high sensitivity light sensors that are often used for impulse time-of-flight measurements (flash LIDARS). In addition, basic CMOS and CCD sensors may be used.
  • In the preferred embodiment of the invention, a scanning projector of the type using a LASER-based projector with a beam steering mechanism, for example, a MEMS mirror, is used as the directable light source, and the sensor is preferably a light sensitive photosensor with a rolling shutter.
  • With reference to FIG. 1, light source 10 can be controlled to illuminate a specific point, line, or area of a scene to be imaged. Sensor 15 contains a grid of light-sensitive pixels. In a preferred embodiment, the rolling shutter of the photosensor captures an image by rapidly scanning the scene one row (or column) of pixels at a time. By synchronizing these, at any point of time, the light can selectively illuminate just the part of the scene that will be scanned by the photo-sensor. This optimizes the energy required to image the scene. The goal of the invention is to maximize the total energy that can be transmitted from individual projector pixels to individual sensor pixels.
  • The mathematical framework for this energy-optimized imaging system follows. If light source 10 is always on, and emits at the constant rate of Φ watts, illuminating a scene for exposure time T means that the total energy generated by light source 10 is ΦT.
  • The illumination vector l is used to describe how the total energy of a projector is distributed over N individual pixels. In particular, each element of l measures the total energy emitted by the source through a specific projector pixel during the exposure time. The l1-norm of l is therefore equal to the total “useful” energy of the source, i.e., the energy actually used for scene illumination. This energy cannot be larger than the energy generated by the source:

  • 0≤l, ∥l∥ 1 ≤ΦT
  • where ∥∥1 is the l1-norm, giving the sum of all elements of a vector.
  • The energy efficiency of a projector depends critically on its ability to direct a maximum amount of the energy generated by the light source 10 to individual pixels. This ability is expressed as an upper bound on the individual elements of l:

  • l∥ 1 ≤ΦT/σ
  • where σ is a projector-specific parameter defined as the spatial spread. This parameter takes values between 1 and N and models energy redistribution. The larger its value, the lower the energy that can be sent through any one pixel, and the more energy wasted when projecting a pattern with just few pixels turned on.
  • The specific value of σ depends on the projection technology. At the far end of the range, with σ=N, are conventional projectors, as shown in FIG. 2A. These projectors use mirrors and lenses to distribute light evenly over a spatial light modulator, which may then block all or part of the light. The near end of the range, with σ=1, represents an idealized projector that is perfectly efficient, as shown in FIG. 2B. This projector can send all its light through just one pixel for the entire exposure time T but can also distribute it, without any blocking, according to an arbitrary illumination l.
  • The l1 and l constraints on l can be written more concisely as
  • 0 l , l σ = max ( σ l Φ , l 1 Φ ) T
  • where ∥⋅∥†σ is the max of two norms and therefore also a norm. These constraints are useful in three ways. First, arrangements can be optimized with very different light redistribution properties by adjusting the spatial spread parameter. Second, the dependence on exposure time makes a distinction between systems that conserve energy and those that merely conserve power. Third, they explicitly account for timescale-dependent behavior, for example raster-scan laser projectors can act like a beam, light sheet, or point source depending on T.
  • For masks that can control light attenuation at individual pixels on a sensor, we consider mask m, which is bounded from 0 to 1. The combined effect of the mask and illumination pattern can be represented as the outer product matrix of two vectors:

  • Π=ml T
  • Intuitively, matrix Π can be thought of as defining a non-uniform spatial light distribution that concentrates energy usable for imaging in some parts of space and not in others. Energy utilization is maximized when both the illumination pattern and the mask reach their norm upper bounds, ∥m∥∥I∥†σ.
  • It is also possible to use more than one mask and illumination pattern for the frame exposure time. Suppose for instance that K masks and illuminations were used. The optimization equation could then be written as:
  • = [ m 1 m 2 m K masks M ] [ 1 1 1 2 1 K illuminations L ] T
  • There may be sequences that distribute light exactly like M and L but with greater total energy. Finding the most energy-efficient sequences requires solving a homogeneous factorization problem, where the goal is to produce a matrix Π with the largest possible scale factor:
  • max γ , M , L , t 1 , , t K γ subject to γ = M L T 0 m k , m k 1 0 1 k , 1 k σ t k 0 t k , k = 1 K t k T
  • The optimization equations above are hard to solve directly. But the equation can be relaxed into the following form:
  • min M , L - ML T F 2 + λ k = 1 K m k 1 k σ subject to 0 m k , 0 1 k
  • where λ is a regularization parameter that balances energy efficiency and the reproduction of Π. This allows for finding M & L that will saturate their upper-bound constraints, and hence a fully illuminated matrix Π.
  • Illumination codes that maximize the energy efficiency are the impulse illuminations, like those of FIG. 2B. This is replicated in the invention by the use of the a LASER-based projector, preferably an ultra-low power LASER, with a MEMS mirror to provide beam steering as depicted in FIG. 1 as light source 10. In this embodiment, the light source and the sensor must be configured using a rectified stereo configuration, as shown in FIG. 3. To capture the epipolar component, as shown in FIG. 4A, the sensor masks are ideally chosen such that for each projector scan line, only the corresponding row in the sensor is exposed. In reality, a single illuminated line in the projector may be mapped to multiple lines in the sensor. This blocks all light that does not satisfy the constraint between the projector and sensor. The masks can be implemented easily using the rolling shutter setup by placing the projector and sensor in an approximate stereo configuration such that their optical axes are parallel to each other, perpendicular to the baseline and the scanlines of the projector and rows of the sensor are parallel to the baseline. In this configuration, the epipolar lines between the projector and sensor are horizontal lines. For any projector scanline the row of pixels in the sensor image along which the corresponding points must lie can be identified.
  • To capture the epipolar component, the exposure te for each sensor row is matched to the time the projector stays on a scanline (tp) and the other timing parameters are chosen so that the line scanned by the projector is synchronized to the row being exposed in the sensor. Conversely, to capture non-epipolar light, the sensor exposure time is set to be tp less than the projector cycle time and the trigger is offset by tp so that every row is exposed for the entire projector cycle except during the time it is illuminated directly by the projector.
  • This energy optimized imaging system also has unique capabilities that are not possible in other imaging systems.
  • Because the rolling shutter of sensor 15 is tuned by synchronization controller 20 for the impulse illuminations of light source 10, very little ambient light is let into the sensor. This allows the invention to image extremely bright objects and scenes under bright ambient illumination. With current technology imaging systems, light from a controlled light source would be overwhelmed by ambient light and would not be detectable at the photosensor.
  • Also, since the rolling shutter of sensor 15 is aligned solely to the light source 10, reflections and scattered light that are caused by the object (such as if the object was mirrored, shiny, metallic, translucent, etc.) are not captured in the frame. Note that the rolling shutter of sensor 15 can purposely be offset from the source illumination so that only the reflections are captured.
  • This ability to not image reflections, scattered light and ambient light also gives the invention the ability to image and recover the shape of objects that are in challenging lighting conditions, specifically smoke or mist filled surroundings. Using the source illumination-to-photo-sensor disparity offset can allow for three-dimensional reconstruction within such lighting challenged areas.
  • It should be understood by one of skill in the art that controller 20 could be implemented as circuitry, as an ASIC, as a microprocessor running software, or by any other means known in the art. The invention is not intended to be limited to one method of implementing the functions of the controller.
  • Dual photography, a technique where the image generated is from the viewpoint of the light source rather than the photosensor, is also possible, even in a live video context, with no processing required.
  • The illumination technique used in this invention can be expanded to multiple photosensors. This allows for highly power efficient active illumination stereo using two or more photosensors.
  • The technique also extends naturally to configurations with multiple light sources. Different light sources interfere with each other minimally when used with the proposed technique. With inter-source synchronization, interference can be eliminated completely.
  • The proposed technique can be realized with a time-of-flight (ToF) photosensor. A rolling shutter ToF photosensor combined with a modulated scanning laser light source using our technique would allow for a power efficient ToF depth sensor that works under bright ambient light conditions and suppresses indirect lighting effects.
  • In other embodiments, the invention can be used with other imaging modalities including, but not limited to, light field imaging, microscopy, polarization, coherent, nonlinear, fluorescent and non-linear imaging.
  • Although the invention is illustrated and described herein with reference to specific embodiments, the invention is not intended to be limited to the details shown. Rather, various modifications may be made in the implementation without departing from the invention.

Claims (19)

We claim:
1. A system for capturing images of a scene comprising:
a directable light source for illuminating a portion of the scene;
a sensor configurable for capturing light from the illuminated portion of the scene; and
a controller performing the functions of:
determining a sequence of portions of the scene to be illuminated;
directing the sensor to sequentially capture light from the sequence of portions; and
directing the directable light source to sequentially illuminate the sequence of portions;
wherein the sensor is a time-of-flight sensor.
2. The system of claim 1 wherein the controller performs the further function of:
temporally synchronizing the directable light source and the sensor such that the sensor captures light when the directable light source is illuminating the scene.
3. The system of claim 2 wherein the controller performs the further function of:
spatially synchronizing the directable light source and the sensor such that the directable light source illuminates a portion of the scene that the sensor is configured to capture.
4. The system of claim 1 wherein the directable light source and the photosensor are substantially arranged in a rectified stereo configuration.
5. The system of claim 1 wherein the sensor measures distance based on direct or indirect time-of-flight.
6. The system of claim 1 wherein the sequence of portions comprises a sequence of lines of pixels of the scene.
7. The system of claim 4 wherein the sequence of portions includes only a subset of the lines of pixels comprising the scene.
8. The system of claim 1 wherein the directable light source is a scanning projector.
9. The system of claim 1 wherein:
the scene is sensed by an array of pixels;
the illuminated portion of the scene comprises a specific pixel, a line of pixels, or a set of pixels; and
the sensor is configurable to only sense the illuminated portion of the scene.
10. The system of claim 1 wherein the sequence of portions of the scene to be illuminated are chosen to maximize the total energy transferred from the directable light source to the sensor.
11. A system for capturing images of a scene comprising:
a directable light source for illuminating a portion of the scene;
a sensor configurable for capturing light from the illuminated portion of the scene; and
a controller performing the functions of:
determining a sequence of portions of the scene to be illuminated;
directing the sensor to sequentially capture light from the sequence of portions; and
directing the directable light source to sequentially illuminate the sequence of portions;
wherein the sensor is a selected from a group consisting of a dynamic vision sensor, a flash LIDAR a CMOS sensor and a CCD sensor.
12. The system of claim 11 wherein the controller performs the further function of:
temporally synchronizing the directable light source and the sensor such that the sensor captures light when the directable light source is illuminating the scene.
13. The system of claim 12 wherein the controller performs the further function of:
spatially synchronizing the directable light source and the sensor such that the directable light source illuminates a portion of the scene that the sensor is configured to capture.
14. The system of claim 11 wherein the directable light source and the photosensor are substantially arranged in a rectified stereo configuration.
15. The system of claim 11 wherein the sequence of portions comprises a sequence of lines of pixels of the scene.
16. The system of claim 11 wherein the sequence of portions includes only a subset of the lines of pixels comprising the scene.
17. The system of claim 11 wherein the directable light source is a scanning projector.
18. The system of claim 11 wherein:
the scene is sensed by an array of pixels;
the illuminated portion of the scene comprises a specific pixel, a line of pixels, or a set of pixels; and
the sensor is configurable to only sense the illuminated portion of the scene.
19. The system of claim 11 wherein the sequence of portions of the scene to be illuminated are chosen to maximize the total energy transferred from the directable light source to the sensor.
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Publication number Priority date Publication date Assignee Title
CN111149350B (en) * 2017-09-28 2022-02-22 苹果公司 Generating still images using event cameras
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JP2024068423A (en) * 2022-11-08 2024-05-20 ソニーセミコンダクタソリューションズ株式会社 Sensing system, sensing control device, and sensing method

Citations (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4236819A (en) * 1974-07-29 1980-12-02 The United States Of America As Represented By The Secretary Of The Air Force Imagery with constant range lines
US4687326A (en) * 1985-11-12 1987-08-18 General Electric Company Integrated range and luminance camera
US4687325A (en) * 1985-03-28 1987-08-18 General Electric Company Three-dimensional range camera
US20050088644A1 (en) * 2001-04-04 2005-04-28 Morcom Christopher J. Surface profile measurement
US20050128196A1 (en) * 2003-10-08 2005-06-16 Popescu Voicu S. System and method for three dimensional modeling
US20050219552A1 (en) * 2002-06-07 2005-10-06 Ackerman Jermy D Methods and systems for laser based real-time structured light depth extraction
US20070268398A1 (en) * 2006-05-17 2007-11-22 Ramesh Raskar Apparatus and method for illuminating a scene with multiplexed illumination for motion capture
US20080118143A1 (en) * 2006-11-21 2008-05-22 Mantis Vision Ltd. 3D Geometric Modeling And Motion Capture Using Both Single And Dual Imaging
US20100046801A1 (en) * 2006-12-25 2010-02-25 Rui Ishiyama Apparatus, method and program for distance measurement
US20100074532A1 (en) * 2006-11-21 2010-03-25 Mantisvision Ltd. 3d geometric modeling and 3d video content creation
US20100085425A1 (en) * 2008-10-07 2010-04-08 Kar-Han Tan One-Touch Projector Alignment for 3D Stereo Display
US20110026783A1 (en) * 2008-04-03 2011-02-03 Kyushu Institute Of Technology Personal authentication method using subcutaneous bloodstream measurement and personal authentication device
US20110071675A1 (en) * 2009-09-22 2011-03-24 Gm Global Technology Operations, Inc. Visual perception system and method for a humanoid robot
US20110164805A1 (en) * 2010-01-07 2011-07-07 De La Rue North America Inc. Systems and Methods for Detecting an Optically Variable Material
US7978928B2 (en) * 2007-09-18 2011-07-12 Seiko Epson Corporation View projection for dynamic configurations
US8294762B2 (en) * 2008-10-10 2012-10-23 Fujifilm Corporation Three-dimensional shape measurement photographing apparatus, method, and program
US8339616B2 (en) * 2009-03-31 2012-12-25 Micrometric Vision Technologies Method and apparatus for high-speed unconstrained three-dimensional digitalization
US20130021474A1 (en) * 2011-07-20 2013-01-24 Raytheon Company Rolling-shutter imaging system with synchronized scanning illumination and methods for higher-resolution imaging
US20130121560A1 (en) * 2011-11-14 2013-05-16 Ryusuke Hirai Image processing device, method of processing image, and image display apparatus
US20130250272A1 (en) * 2012-03-21 2013-09-26 David Ludwig Threshold Detection Method, Module and Readout Integrated Circuit Layer for LIDAR Time of Flight System Using Differentiated Gaussian Signal
US20140211193A1 (en) * 2012-09-24 2014-07-31 Alces Technology, Inc. Structured light and time of flight depth capture with a MEMS ribbon linear array spatial light modulator
US20140232566A1 (en) * 2011-06-17 2014-08-21 Leddartech Inc. System and method for traffic side detection and characterization
US20140253724A1 (en) * 2013-03-08 2014-09-11 Mitutoyo Corporation Shape measuring apparatus
US20140327746A1 (en) * 2013-05-06 2014-11-06 Iphoton Solutions, Llc Volume reconstruction of an object using a 3d sensor and robotic coordinates
US20150285625A1 (en) * 2014-04-07 2015-10-08 Samsung Electronics Co., Ltd. High resolution, high frame rate, low power image sensor
US20150381962A1 (en) * 2014-06-27 2015-12-31 Electronics And Telecommunications Research Institute Method and apparauts for implementing active imaging system
US20160124203A1 (en) * 2014-11-04 2016-05-05 Olympus Corporation Microscope and microscope image acquisition method
US20160182788A1 (en) * 2014-12-22 2016-06-23 Google Inc. Time-of-flight camera system with scanning illuminator
US20160182889A1 (en) * 2014-12-19 2016-06-23 Datalogic ADC, Inc. Depth camera system using coded structured light
US20160349369A1 (en) * 2014-01-29 2016-12-01 Lg Innotek Co., Ltd. Device for extracting depth information and method thereof
US20170064235A1 (en) * 2015-08-27 2017-03-02 Samsung Electronics Co., Ltd. Epipolar plane single-pulse indirect tof imaging for automotives
US20170142406A1 (en) * 2015-11-16 2017-05-18 Samsung Electronics Co., Ltd. Apparatus for and method of illumination control for acquiring image information and depth information simultaneously
US20170176575A1 (en) * 2015-12-18 2017-06-22 Gerard Dirk Smits Real time position sensing of objects
US20170353707A1 (en) * 2016-06-03 2017-12-07 Samsung Electronics Co., Ltd. Timestamp error correction with double readout for the 3d camera with epipolar line laser point scanning
US20170366801A1 (en) * 2016-06-20 2017-12-21 Intel Corporation Depth image provision apparatus and method
US20220245762A1 (en) * 2021-02-03 2022-08-04 Qualcomm Incorporated High resolution time-of-flight depth imaging

Family Cites Families (68)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5128753A (en) * 1954-12-24 1992-07-07 Lemelson Jerome H Method and apparatus for scaning objects and generating image information
US4621185A (en) 1985-02-25 1986-11-04 Caterpillar, Inc. Adaptive welding apparatus having fill control correction for curvilinear weld grooves
JP2884561B2 (en) * 1993-06-02 1999-04-19 ブラザー工業株式会社 Image processing device
JPH08159756A (en) 1994-12-12 1996-06-21 Nikon Corp Obstacle detector
US5717390A (en) 1995-03-20 1998-02-10 Hasselbring; Richard E. Doppler-radar based automatic vehicle-classification system
US5852672A (en) * 1995-07-10 1998-12-22 The Regents Of The University Of California Image system for three dimensional, 360 DEGREE, time sequence surface mapping of moving objects
US20020014533A1 (en) 1995-12-18 2002-02-07 Xiaxun Zhu Automated object dimensioning system employing contour tracing, vertice detection, and forner point detection and reduction methods on 2-d range data maps
JPH11132713A (en) 1997-10-30 1999-05-21 Oki Electric Ind Co Ltd Distance measuring device and automatic focus control and photographing device, and recessed and projecting part detector
US6556307B1 (en) * 1998-09-11 2003-04-29 Minolta Co., Ltd. Method and apparatus for inputting three-dimensional data
WO2000032451A1 (en) * 1998-11-27 2000-06-08 Hamamatsu Photonics K.K. Driver sensor and apparatus for controlling air bag
US6415051B1 (en) * 1999-06-24 2002-07-02 Geometrix, Inc. Generating 3-D models using a manually operated structured light source
JP2002039716A (en) 2000-07-25 2002-02-06 Olympus Optical Co Ltd Depth map input device
DE10135342C1 (en) 2001-07-20 2002-10-31 Schneider Laser Technologies Projection device for automobile head-up display has projected light beams for each image point reflected by rear mirror at projection surface for convergence in planar viewing field infront of driver
JP2004150810A (en) 2002-10-28 2004-05-27 Sony Corp Three-dimensional image measuring instrument
US7440084B2 (en) 2004-12-16 2008-10-21 Arete' Associates Micromechanical and related lidar apparatus and method, and fast light-routing components
WO2007043036A1 (en) 2005-10-11 2007-04-19 Prime Sense Ltd. Method and system for object reconstruction
US8014588B2 (en) 2005-11-04 2011-09-06 Cognitech, Inc. System and method for three-dimensional estimation based on image data
US7804585B2 (en) 2006-01-08 2010-09-28 Visiontools Bildanalyse Systeme Gmbh Creation of a range image
DE102006055746A1 (en) 2006-11-25 2008-05-29 Lavision Gmbh Method for correcting a volume mapping equation for determining a velocity field of particles in a volume
US7710545B2 (en) 2008-02-13 2010-05-04 The Boeing Company Scanned laser detection and ranging apparatus
US8194233B2 (en) 2008-04-11 2012-06-05 Microsoft Corporation Method and system to reduce stray light reflection error in time-of-flight sensor arrays
WO2010094135A1 (en) 2009-02-23 2010-08-26 2G Robotics Inc. Laser scanner assembly
JP5243996B2 (en) 2009-03-02 2013-07-24 スタンレー電気株式会社 Object detection device
US8681216B2 (en) 2009-03-12 2014-03-25 Hewlett-Packard Development Company, L.P. Depth-sensing camera system
KR101668869B1 (en) * 2009-05-29 2016-10-28 삼성전자주식회사 Depth sensor, 3D image sensor and Depth sensing method there-of
US20110102763A1 (en) 2009-10-30 2011-05-05 Microvision, Inc. Three Dimensional Imaging Device, System and Method
US8305561B2 (en) 2010-03-25 2012-11-06 Hokuyo Automatic Co., Ltd. Scanning-type distance measuring apparatus
US8485668B2 (en) * 2010-05-28 2013-07-16 Microsoft Corporation 3D interaction for mobile device
JP5528910B2 (en) 2010-06-02 2014-06-25 株式会社Pfu Overhead image reader
KR101710514B1 (en) * 2010-09-03 2017-02-27 삼성전자주식회사 Depth sensor and method of estimating distance using the same
WO2012125706A2 (en) * 2011-03-15 2012-09-20 Board Of Trustees Of Michigan State University Real-time 3d shape measurement system
DE102011106453A1 (en) 2011-07-04 2013-01-10 Carl Zeiss Ag Method and device for time sequential recording of three-dimensional images
JP5858688B2 (en) 2011-08-30 2016-02-10 スタンレー電気株式会社 Distance image generator
WO2013121267A1 (en) 2012-02-15 2013-08-22 Mesa Imaging Ag Time of flight camera with stripe illumination
KR102008233B1 (en) * 2012-06-29 2019-08-07 삼성전자주식회사 Depth measurement device and method of measuring a distance to an object using the depth estimation device
JP6001960B2 (en) 2012-08-23 2016-10-05 大塚電子株式会社 Light distribution characteristic measuring apparatus and light distribution characteristic measuring method
US9813618B2 (en) 2012-11-02 2017-11-07 Diversified Innovations Fund, Lllp Wide area imaging system and method
US9386298B2 (en) 2012-11-08 2016-07-05 Leap Motion, Inc. Three-dimensional image sensors
US9702977B2 (en) 2013-03-15 2017-07-11 Leap Motion, Inc. Determining positional information of an object in space
US20160065945A1 (en) 2013-04-12 2016-03-03 The Trustees Of Columbia University In The City Of New York Systems, methods, and media for generating structured light
US9412172B2 (en) * 2013-05-06 2016-08-09 Disney Enterprises, Inc. Sparse light field representation
US9476695B2 (en) 2013-07-03 2016-10-25 Faro Technologies, Inc. Laser tracker that cooperates with a remote camera bar and coordinate measurement device
US9188775B2 (en) 2013-08-28 2015-11-17 United Sciences, Llc Optical scanning and measurement
NO20131296A1 (en) 2013-09-27 2015-01-19 Megalink As System and method for determining the position of a bullet projectile on a flashing plane
JP2015135463A (en) 2013-12-19 2015-07-27 オリンパス株式会社 Microscope apparatus and microscope system
US20150176977A1 (en) 2013-12-20 2015-06-25 Lemoptix Sa Methods and devices for determining position or distance
US9386236B2 (en) * 2014-01-26 2016-07-05 Muller Imaging Technologies, Inc Periodic fringe imaging with structured pattern illumination and electronic rolling shutter detection
US11265534B2 (en) 2014-02-08 2022-03-01 Microsoft Technology Licensing, Llc Environment-dependent active illumination for stereo matching
US20150294496A1 (en) 2014-04-14 2015-10-15 GM Global Technology Operations LLC Probabilistic person-tracking using multi-view fusion
US9389069B2 (en) 2014-03-26 2016-07-12 Alces Technology, Inc. Compact 3D depth capture systems
JP6406856B2 (en) * 2014-04-07 2018-10-17 キヤノン株式会社 Imaging apparatus and control method thereof
US9383548B2 (en) 2014-06-11 2016-07-05 Olympus Corporation Image sensor for depth estimation
US9377533B2 (en) 2014-08-11 2016-06-28 Gerard Dirk Smits Three-dimensional triangulation and time-of-flight based tracking systems and methods
JP6552043B2 (en) 2014-11-04 2019-07-31 オリンパス株式会社 Sheet illumination microscope
US9536320B1 (en) 2014-12-23 2017-01-03 John H. Prince Multiple coordinated detectors for examination and ranging
US10061029B2 (en) 2015-01-06 2018-08-28 Samsung Electronics Co., Ltd. Correction of depth images from T-O-F 3D camera with electronic-rolling-shutter for light modulation changes taking place during light integration
WO2018136709A1 (en) 2017-01-20 2018-07-26 Carnegie Mellon University Method for epipolar time of flight imaging
WO2016131036A1 (en) 2015-02-13 2016-08-18 Carnegie Mellon University Imaging system with synchronized dynamic control of directable beam light source and reconfigurably masked photo-sensor
US10679370B2 (en) 2015-02-13 2020-06-09 Carnegie Mellon University Energy optimized imaging system with 360 degree field-of-view
EP3274986A4 (en) 2015-03-21 2019-04-17 Mine One GmbH Virtual 3d methods, systems and software
US10043282B2 (en) 2015-04-13 2018-08-07 Gerard Dirk Smits Machine vision for ego-motion, segmenting, and classifying objects
US10145678B2 (en) * 2015-04-20 2018-12-04 Samsung Electronics Co., Ltd. CMOS image sensor for depth measurement using triangulation with point scan
GB201516701D0 (en) 2015-09-21 2015-11-04 Innovation & Business Dev Solutions Ltd Time of flight distance sensor
KR102486385B1 (en) 2015-10-29 2023-01-09 삼성전자주식회사 Apparatus and method of sensing depth information
JP6668763B2 (en) * 2016-01-13 2020-03-18 セイコーエプソン株式会社 Image recognition device, image recognition method, and image recognition unit
US10531073B2 (en) 2016-03-17 2020-01-07 Samsung Electronics Co., Ltd. Method and apparatus for automatic calibration of RGBZ sensors utilizing epipolar geometry and scanning beam projector
US10451740B2 (en) 2016-04-26 2019-10-22 Cepton Technologies, Inc. Scanning lidar systems for three-dimensional sensing
KR102674646B1 (en) * 2016-10-18 2024-06-13 포토닉 센서즈 앤드 알고리즘즈 에스.엘. Apparatus and method for obtaining distance information from a view

Patent Citations (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4236819A (en) * 1974-07-29 1980-12-02 The United States Of America As Represented By The Secretary Of The Air Force Imagery with constant range lines
US4687325A (en) * 1985-03-28 1987-08-18 General Electric Company Three-dimensional range camera
US4687326A (en) * 1985-11-12 1987-08-18 General Electric Company Integrated range and luminance camera
US20050088644A1 (en) * 2001-04-04 2005-04-28 Morcom Christopher J. Surface profile measurement
US20050219552A1 (en) * 2002-06-07 2005-10-06 Ackerman Jermy D Methods and systems for laser based real-time structured light depth extraction
US20050128196A1 (en) * 2003-10-08 2005-06-16 Popescu Voicu S. System and method for three dimensional modeling
US20070268398A1 (en) * 2006-05-17 2007-11-22 Ramesh Raskar Apparatus and method for illuminating a scene with multiplexed illumination for motion capture
US20100074532A1 (en) * 2006-11-21 2010-03-25 Mantisvision Ltd. 3d geometric modeling and 3d video content creation
US20080118143A1 (en) * 2006-11-21 2008-05-22 Mantis Vision Ltd. 3D Geometric Modeling And Motion Capture Using Both Single And Dual Imaging
US20100046801A1 (en) * 2006-12-25 2010-02-25 Rui Ishiyama Apparatus, method and program for distance measurement
US7978928B2 (en) * 2007-09-18 2011-07-12 Seiko Epson Corporation View projection for dynamic configurations
US20110026783A1 (en) * 2008-04-03 2011-02-03 Kyushu Institute Of Technology Personal authentication method using subcutaneous bloodstream measurement and personal authentication device
US20100085425A1 (en) * 2008-10-07 2010-04-08 Kar-Han Tan One-Touch Projector Alignment for 3D Stereo Display
US8294762B2 (en) * 2008-10-10 2012-10-23 Fujifilm Corporation Three-dimensional shape measurement photographing apparatus, method, and program
US8339616B2 (en) * 2009-03-31 2012-12-25 Micrometric Vision Technologies Method and apparatus for high-speed unconstrained three-dimensional digitalization
US20110071675A1 (en) * 2009-09-22 2011-03-24 Gm Global Technology Operations, Inc. Visual perception system and method for a humanoid robot
US20110164805A1 (en) * 2010-01-07 2011-07-07 De La Rue North America Inc. Systems and Methods for Detecting an Optically Variable Material
US20140232566A1 (en) * 2011-06-17 2014-08-21 Leddartech Inc. System and method for traffic side detection and characterization
US20130021474A1 (en) * 2011-07-20 2013-01-24 Raytheon Company Rolling-shutter imaging system with synchronized scanning illumination and methods for higher-resolution imaging
US20130121560A1 (en) * 2011-11-14 2013-05-16 Ryusuke Hirai Image processing device, method of processing image, and image display apparatus
US20130250272A1 (en) * 2012-03-21 2013-09-26 David Ludwig Threshold Detection Method, Module and Readout Integrated Circuit Layer for LIDAR Time of Flight System Using Differentiated Gaussian Signal
US20140211193A1 (en) * 2012-09-24 2014-07-31 Alces Technology, Inc. Structured light and time of flight depth capture with a MEMS ribbon linear array spatial light modulator
US20140253724A1 (en) * 2013-03-08 2014-09-11 Mitutoyo Corporation Shape measuring apparatus
US20140327746A1 (en) * 2013-05-06 2014-11-06 Iphoton Solutions, Llc Volume reconstruction of an object using a 3d sensor and robotic coordinates
US20160349369A1 (en) * 2014-01-29 2016-12-01 Lg Innotek Co., Ltd. Device for extracting depth information and method thereof
US20150285625A1 (en) * 2014-04-07 2015-10-08 Samsung Electronics Co., Ltd. High resolution, high frame rate, low power image sensor
US20150381962A1 (en) * 2014-06-27 2015-12-31 Electronics And Telecommunications Research Institute Method and apparauts for implementing active imaging system
US20160124203A1 (en) * 2014-11-04 2016-05-05 Olympus Corporation Microscope and microscope image acquisition method
US20160182889A1 (en) * 2014-12-19 2016-06-23 Datalogic ADC, Inc. Depth camera system using coded structured light
US20160182788A1 (en) * 2014-12-22 2016-06-23 Google Inc. Time-of-flight camera system with scanning illuminator
US20170064235A1 (en) * 2015-08-27 2017-03-02 Samsung Electronics Co., Ltd. Epipolar plane single-pulse indirect tof imaging for automotives
US10021284B2 (en) * 2015-08-27 2018-07-10 Samsung Electronics Co., Ltd. Epipolar plane single-pulse indirect TOF imaging for automotives
US20170142406A1 (en) * 2015-11-16 2017-05-18 Samsung Electronics Co., Ltd. Apparatus for and method of illumination control for acquiring image information and depth information simultaneously
US20170176575A1 (en) * 2015-12-18 2017-06-22 Gerard Dirk Smits Real time position sensing of objects
US20170353707A1 (en) * 2016-06-03 2017-12-07 Samsung Electronics Co., Ltd. Timestamp error correction with double readout for the 3d camera with epipolar line laser point scanning
US20170366801A1 (en) * 2016-06-20 2017-12-21 Intel Corporation Depth image provision apparatus and method
US20220245762A1 (en) * 2021-02-03 2022-08-04 Qualcomm Incorporated High resolution time-of-flight depth imaging

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Blais, "A Review of 20 Years of Range Sensor Development˙" , Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 5013 (2003) pages 62-76 (Year: 2003) *
Horaud et al "An overview of depth cameras and range scanners based on time-of-flight technologies" Machine Vision and Applications (2016) (Year: 2016) *
S. B. Gokturk, H. Yalcin and C. Bamji, "A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions," 2004 Conference on Computer Vision and Pattern Recognition Workshop, Washington, DC, USA, 2004, pp. 35-35, doi: 10.1109/CVPR.2004.291. (Year: 2004) *

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