WO2022009512A1 - Dispositif de prédiction de sensation de luminosité et programme de prédiction de sensation de luminosité - Google Patents

Dispositif de prédiction de sensation de luminosité et programme de prédiction de sensation de luminosité Download PDF

Info

Publication number
WO2022009512A1
WO2022009512A1 PCT/JP2021/017650 JP2021017650W WO2022009512A1 WO 2022009512 A1 WO2022009512 A1 WO 2022009512A1 JP 2021017650 W JP2021017650 W JP 2021017650W WO 2022009512 A1 WO2022009512 A1 WO 2022009512A1
Authority
WO
WIPO (PCT)
Prior art keywords
brightness
image
feeling
target space
surface type
Prior art date
Application number
PCT/JP2021/017650
Other languages
English (en)
Japanese (ja)
Inventor
英司 山本
誠司 奥村
智祐 成井
利宏 妻鹿
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Publication of WO2022009512A1 publication Critical patent/WO2022009512A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Definitions

  • the present invention relates to a brightness feeling prediction device and a brightness feeling prediction program.
  • the sense of brightness is the amount of brightness that humans perceive, and is an index different from the illuminance, which is a physical quantity that represents the brightness of light that illuminates the surface of an object. Therefore, for example, even if the illuminance of the lighting installed in the space is large, the feeling of brightness for the space is not always large.
  • Patent Document 1 discloses a brightness feeling predicting device that predicts the brightness feeling of the space based on the brightness of each pixel included in the image of the target space that is the object for predicting the brightness feeling. Has been done.
  • Patent Document 2 discloses a brightness feeling predicting device that predicts the brightness feeling of the space based on the illuminance at a point on a vertical surface in the target space.
  • An object of the present invention is to predict the brightness of the target space with high accuracy.
  • the surface type setting unit that sets the surface type of each image area corresponding to each surface included in the luminance image representing the target space, and the weight indicating the degree of contribution to the feeling of brightness for each surface type are used.
  • the brightness feeling of the target space is based on the luminance values of the plurality of pixels included in the image region and the weights of the surface types of the image region for each of the plurality of image regions. It is a brightness feeling prediction device characterized by including a brightness feeling prediction unit for predicting.
  • the brightness prediction unit is located in the vicinity of the representative value of the luminance values of the plurality of pixels included in the first image region and the vicinity of the first image region in the luminance image among the plurality of image regions. It is characterized in that the feeling of brightness of the target space is predicted based on the ratio of the luminance values of the plurality of pixels included in the second image region to the representative values.
  • the brightness prediction unit includes a representative value of the luminance values of a plurality of pixels included in the image region whose surface type is the floor surface among the plurality of image regions, and a plurality of brightness values included in the other image regions. It is characterized in that the feeling of brightness of the target space is predicted without considering the ratio of the brightness value of the pixel to the representative value.
  • the brightness feeling predicting unit intermittently predicts the brightness feeling of the target space, and the brightness feeling of the target space predicted immediately before and the brightness feeling of the target space predicted this time. It is characterized in that the brightness feeling of the target space predicted this time is corrected based on the difference between the above.
  • the present invention comprises a surface type setting unit for setting a surface type of each image area corresponding to each surface included in a luminance image representing a target space, and a contribution to a sense of brightness for each surface type.
  • the target is based on the brightness values of the plurality of pixels included in the image region and the weight of the surface type of the image region for each of the plurality of image regions. It is a brightness prediction program characterized by functioning as a brightness prediction unit that predicts the brightness of a space.
  • the feeling of brightness of the target space can be predicted with high accuracy.
  • FIG. 1 is a schematic configuration diagram of the brightness feeling prediction device 10 according to the present embodiment.
  • the brightness feeling prediction device 10 is, for example, a server computer, a personal computer, a tablet terminal, or the like, but may be any device as long as the functions described below can be exhibited. Further, although the brightness feeling prediction device 10 according to the present embodiment exerts each function described below in one device, each function of the brightness feeling prediction device 10 may be exerted by a plurality of devices.
  • the communication unit 12 is configured to include, for example, a network adapter.
  • the communication unit 12 exhibits a function of communicating with another device (for example, a camera or an image processing device that processes an image captured by the camera) via a communication line such as a LAN or the Internet.
  • another device for example, a camera or an image processing device that processes an image captured by the camera
  • the communication unit 12 receives the luminance image 20 described later from another device.
  • the communication unit 12 may transmit the prediction result by the brightness feeling prediction unit 28, which will be described later, to another device.
  • the display unit 14 includes, for example, a liquid crystal display, an organic EL display, and the like.
  • the display unit 14 displays various screens.
  • the display unit 14 can display the luminance image 20 and the prediction result by the brightness feeling prediction unit 28.
  • the input unit 16 includes, for example, a mouse, a keyboard, a touch panel, a microphone, and the like.
  • the input unit 16 is used to input an instruction from the user to the brightness feeling prediction device 10.
  • the storage unit 18 includes, for example, a hard disk, SSD, ROM, RAM, or the like.
  • the storage unit 18 stores a brightness prediction program for operating each unit of the brightness prediction device 10. Further, as shown in FIG. 1, the luminance image 20 and the weight information 22 are stored in the storage unit 18.
  • the brightness image 20 is an image representing a target space, which is a space for which a brightness feeling is predicted by the brightness feeling prediction device 10.
  • the target space in the present specification is a space including a plurality of types of surfaces (for example, a wall surface, a ceiling surface, a floor surface, etc.).
  • the target space is an indoor space.
  • FIG. 2 shows an example of the luminance image 20.
  • the luminance image 20 is a two-dimensional array of a plurality of pixels. Each pixel included in the luminance image 20 may have at least a luminance value as a pixel value.
  • the luminance image 20 may be a camera image obtained by photographing the target space with a camera. Further, in the camera image, the range (range) of the brightness value of each pixel is relatively narrow (for example, 0 to 255), whereas in the brightness image 20, the luminance is processed to expand the luminance range of each pixel of the camera image. It is preferable that it is an extended image.
  • the luminance image 20 may be an image formed by a computer program, for example, a CG image, instead of an image based on a camera image.
  • the brightness feeling prediction device 10 receives the luminance image 20 from another device by the communication unit 12 described above and stores it in the storage unit 18. Alternatively, the brightness feeling prediction device 10 may form the luminance image 20.
  • the weight information 22 is information in which a weight indicating the degree of contribution to the feeling of brightness is associated with each surface type that can be defined in the luminance image 20.
  • the target space includes a plurality of types of surfaces, but the inventor of the present invention has a surface according to the surface type included in the target space based on the results of a survey such as a questionnaire. It was found that the influence of the brightness value of each pixel included in the above on the feeling of brightness of the target space, that is, the degree of contribution to the feeling of brightness is different. Therefore, the weight indicating the degree of contribution to the feeling of brightness for each surface type based on the survey result is stored in the storage unit 18 in advance as the weight information 22.
  • FIG. 3 shows an example of the weight information 22.
  • FIG. 3 shows a ceiling surface, a front wall surface, a side wall surface, and a floor surface as surface types.
  • the ceiling surface is a surface corresponding to the ceiling of the target space
  • the front wall surface is a surface corresponding to the wall extending in the left-right direction of the brightness image 20 in the field of view of the brightness image 20
  • the side wall surface is the surface corresponding to the brightness.
  • the floor surface is the surface corresponding to the floor of the target space.
  • the surface type is not limited to these, and other types of surfaces (for example, window surfaces) may be included.
  • the invention of the present invention states that the degree of contribution to the sense of brightness of the target space is in the order of front wall surface, ceiling surface, side wall surface, and floor surface from the largest. Found. Therefore, among the four surface types, the weight of the front wall surface is the largest, the weight of the ceiling surface is the next largest, the weight of the side wall surface is the next largest, and the weight of the floor surface is the smallest.
  • the actual value of the weight is an example, and may be appropriately changed according to an equation for calculating the feeling of brightness.
  • control unit 24 includes, for example, various control devices such as a CPU, GPU, ASIC, and FPGA.
  • the control unit 24 controls each unit of the brightness sensation prediction device 10 based on the brightness sensation prediction program stored in the storage unit 18.
  • the control unit 24 functions as a surface type setting unit 26 and a brightness feeling prediction unit 28.
  • the surface type setting unit 26 first defines each image area corresponding to each surface included in the luminance image 20.
  • the surface type setting unit 26 defines a plurality of image regions by performing image analysis on the luminance image 20. Specifically, the surface type setting unit 26 performs edge detection processing on the luminance image 20, and sets the region surrounded by the detected edge or the region surrounded by the detected edge and the side of the luminance image 20 as 1. Defined as one image area. At this time, the area below the predetermined area (number of pixels) may be ignored without being defined as an image area. As a result, objects other than the surface included in the luminance image 20 (for example, furniture, pillars, etc.) can be excluded. Further, the surface type setting unit 26 may define a plurality of image areas in the luminance image 20 according to an instruction from the user without performing image processing on the luminance image 20.
  • the surface type setting unit 26 sets the surface types of a plurality of defined image areas.
  • the surface type setting unit 26 sets the surface type based on the shape of the defined image area and the position in the luminance image 20.
  • the surface type setting unit 26 is a trapezoidal image region in which the upper base and the lower base are parallel to each other, the upper base is longer than the lower base, and the image region is located on the upper side in the luminance image 20.
  • the surface type setting unit 26 is a quadrangular image region, and the surface type of the image region in which at least one side on the left and right sides is vertical (extended in the vertical direction in the luminance image 20) is referred to as a side wall surface.
  • the surface type setting unit 26 may specify the surface type of each image area according to an instruction from the user, regardless of the shape of the defined image area or the position in the luminance image 20.
  • FIG. 4 shows a plurality of image regions 40 defined in the luminance image 20 shown in FIG. 2 and surface types of each image region 40.
  • the ceiling surface 40a, the front wall surface 40b, the side wall surface 40c, and the floor surface 40d are set in the luminance image 20.
  • the brightness feeling prediction unit 28 predicts the brightness feeling of the target space represented by the luminance image 20. It is known that the sense of brightness felt by humans with respect to the target space is proportional to the logarithm of the brightness of each part of the target space. Therefore, the brightness feeling prediction unit 28 basically uses the brightness feeling of the target space as a numerical value based on the geometric mean brightness value which is the geometric mean value of the brightness values of the plurality of pixels constituting the luminance image 20. Predict. Since various methods have been conventionally proposed for calculating the predicted value of the feeling of brightness, detailed description thereof will be omitted here.
  • the brightness feeling prediction unit 28 has the brightness of the pixel corresponding to the light source. Not used to predict the feeling. Specifically, the brightness prediction unit 28 considers a pixel having a brightness value of a predetermined value or more as a pixel corresponding to a light source, and the brightness is based on the geometric mean value of the brightness values of other pixels excluding the pixel. Predict the feeling.
  • the brightness prediction unit 28 refers to the weight information 22, and is a representative value (for example, geometric average) of the luminance values of a plurality of pixels included in each image area 40 set by the surface type setting unit 26.
  • the brightness feeling of the target space represented by the luminance image 20 is predicted based on the luminance value (hereinafter referred to as “luminance representative value”) and the weight of each surface type of the image region 40.
  • the brightness feeling prediction unit 28 changes the degree of influence of the brightness representative value of each image area 40 on the brightness feeling of the target space according to the weight of each surface type indicated by the weight information 22. , Predict the feeling of brightness in the target area. In an extreme example, when there is an image region 40 having a weight of 0, the brightness feeling prediction unit 28 predicts the brightness feeling of the target space by ignoring the brightness representative value of the image region 40.
  • the brightness feeling prediction unit 28 first obtains a luminance representative value of the image domain 40, for example, a geometric mean luminance value for each image domain 40.
  • a luminance representative value of the image region 40 having a larger weight is more important, in other words, the luminance representative value of the image region 40 having a smaller weight is more neglected to predict the brightness feeling of the target space.
  • the weight information 22 is as shown in FIG. 3, since the weight of the front wall surface 40b is large, when the brightness representative value of the front wall surface 40b is large, the feeling of brightness of the target space becomes large (feels bright). ), And when the representative brightness value of the front wall surface 40b is small, it acts greatly in the direction in which the feeling of brightness of the target space becomes small (feels dark). On the other hand, since the weight of the floor surface 40d is small, even when the brightness representative value of the floor surface 40d is large, it does not act much in the direction of increasing the brightness feeling of the target space, and the brightness representative of the floor surface 40d. Even if the value is small, it does not work so much in the direction that the feeling of brightness of the target space becomes small.
  • the brightness prediction unit 28 has a luminance representative value of the first image region 40 in the luminance image 20 and a luminance representative value of the second image region 40 located in the vicinity of the first image region 40 in the luminance image 20. It is preferable to predict the feeling of brightness of the target space based on the ratio of.
  • the second image area 40 located in the vicinity of the first image area 40 is typically an image area 40 adjacent to the first image area 40, but is located in the vicinity of the first image area 40. If so, the second image area 40 does not necessarily have to be adjacent to the first image area 40.
  • the inventor of the present invention feels that in the luminance image 20, the larger the ratio of the luminance representative values of the two image regions 40 in the vicinity is, the darker the human being is with respect to the target space, that is, the smaller the sense of brightness. I found that.
  • the large ratio of the luminance representative values of the two image regions 40 means that the difference between the luminance representative values of the two image regions 40 is large.
  • FIG. 2 for example, when the ratio of the brightness representative value between the central ceiling surface and the side wall adjacent to the central ceiling surface is large, the ratio of the brightness representative value between the ceiling surface and the side wall is large. Compared to the case where is small, humans feel that the target space is dark.
  • the brightness feeling prediction unit 28 has, for each image area 40 (each first image area 40) included in the luminance image 20, with each of the other plurality of image areas 40 (second image area 40) in the vicinity thereof. Calculate the ratio of the representative brightness values between. Then, the feeling of brightness of the target space is predicted in consideration of the sum or average value of the calculated plurality of ratios. Specifically, the larger the total or average value of the calculated multiple ratios, the smaller the brightness of the target space, and the smaller the total or average value of the calculated multiple ratios, the smaller the brightness of the target space. Enlarge.
  • the floor surface 40d tends to have a considerably low representative brightness value. Therefore, even if a human feels relatively bright with respect to the target space, the image area 40 corresponding to the floor surface 40d and another image area 40 in the vicinity thereof (for example, the front wall surface 40b or the side wall surface 40c)
  • the ratio of the representative luminance value to the image region 40) corresponding to the above tends to be large. Therefore, when calculating the ratio of the representative luminance values between the two image regions 40, it is preferable that the brightness prediction unit 28 does not consider the image region 40 corresponding to the floor surface 40d set by the surface type setting unit 26. Is. In other words, the brightness prediction unit 28 does not consider the ratio between the luminance representative value of the image region 40 corresponding to the floor surface 40d and the luminance representative value of the other image region 40, and the brightness of the target space. It is preferable to predict the feeling.
  • the brightness feeling prediction unit 28 intermittently predicts the brightness feeling of the same target space at a plurality of different times. For example, the brightness prediction unit 28 periodically predicts the brightness of the target space, such as every 30 minutes or every 5 minutes. This is because the feeling of brightness of the target space may change depending on the time of day. For example, since sunlight is the light source in the daytime, the position of the sun changes depending on the time of day, which changes the way the light hits the target space and the feeling of brightness may change. Moreover, since the main light source is a lighting fixture at night, the feeling of brightness in the same target space may be completely different from that in the daytime.
  • the brightness feeling prediction unit 28 intermittently predicts the brightness feeling of the target space based on the plurality of luminance images 20 that are intermittently acquired. For example, a camera that captures an image of a certain target space is fixedly installed, and the camera intermittently photographs the target space to acquire a plurality of camera images.
  • the plurality of camera images may be a plurality of luminance images 20, and a plurality of luminance expanded images processed to expand the luminance range of each camera image may be a plurality of luminance images 20.
  • the feeling of brightness prediction unit 28 may predict the feeling of brightness of the target space in consideration of the above-mentioned dark adaptation or light adaptation. Specifically, the brightness prediction unit 28 predicts the brightness of the target space this time based on the difference between the brightness feeling of the target space predicted immediately before and the brightness feeling of the target space predicted this time. You may try to correct the feeling.
  • the brightness prediction unit 28 increases the difference between the brightness feeling of the target space predicted immediately before and the brightness feeling of the target space predicted this time, the larger the difference is, the brightness of the target space predicted this time. Correct so that the feeling of touch is reduced. In other words, the brightness prediction unit 28 has the smaller the difference between the brightness feeling of the target space predicted immediately before and the brightness feeling of the target space predicted this time, the smaller the difference is, the more the target space predicted this time. Correct so that the feeling of brightness becomes large.
  • the brightness feeling prediction unit 28 predicts immediately before the case where the brightness feeling of the target space predicted immediately before is 6, that is, the difference in the brightness feeling is 1.
  • the brightness feeling of the target space is 12, that is, when the difference in brightness feeling is 7, that is, when the difference is large, the correction is made so that the predicted value of the brightness feeling this time becomes smaller. do.
  • the brightness feeling prediction unit 28 predicts immediately before the case where the brightness feeling of the target space predicted immediately before is 14, that is, the difference in the brightness feeling is -1.
  • the brightness feeling of the target space is 9, that is, when the difference in brightness feeling is -6, that is, when the difference is small, the predicted value of the brightness feeling this time becomes larger. Make corrections.
  • the outline of the configuration of the brightness feeling prediction device 10 according to the present embodiment is as described above.
  • weights are set according to a plurality of surface types defined in the brightness image 20, and the weights are taken into consideration to give a feeling of brightness in the target space based on the brightness image 20. is expected.
  • it is possible to predict the feeling of brightness with higher accuracy that is, the feeling of brightness closer to the actual feeling of human beings, as compared with the case where the feeling of brightness is predicted at least without considering the surface type included in the luminance image 20.
  • Brightness prediction device 10 Brightness prediction device, 12 Communication unit, 14 Display unit, 16 Input unit, 18 Storage unit, 20 Brightness image, 22 Weight information, 24 Control unit, 26 Surface type setting unit, 28 Brightness prediction unit, 40 Image Area, 40a ceiling surface, 40b front wall surface, 40c side wall surface, 40d floor surface.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Image Analysis (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)

Abstract

Selon la présente invention, une unité de réglage de type de surface (26) définit chaque zone d'image correspondant à chaque surface comprise dans une image de luminance (20) représentant un espace cible, et définit des types de surface de la pluralité définie de zones d'image. Une unité de prédiction de sensation de luminosité (28) se réfère à des informations de poids (22) dans lequel le poids indiquant un degré de contribution à la sensation de luminosité est associé à chaque type de surface qui peut être défini dans l'image de luminance (20), et prédit la sensation de luminosité de l'espace cible représenté par l'image de luminance (20), sur la base d'une valeur représentative des valeurs de luminosité d'une pluralité de pixels inclus dans chaque zone d'image (40) définie par l'unité de réglage de type de surface (26) et le poids du type de surface de chaque zone d'image (40).
PCT/JP2021/017650 2020-07-06 2021-05-10 Dispositif de prédiction de sensation de luminosité et programme de prédiction de sensation de luminosité WO2022009512A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020-116335 2020-07-06
JP2020116335A JP7458919B2 (ja) 2020-07-06 2020-07-06 明るさ感予測装置及び明るさ感予測プログラム

Publications (1)

Publication Number Publication Date
WO2022009512A1 true WO2022009512A1 (fr) 2022-01-13

Family

ID=79552862

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/017650 WO2022009512A1 (fr) 2020-07-06 2021-05-10 Dispositif de prédiction de sensation de luminosité et programme de prédiction de sensation de luminosité

Country Status (2)

Country Link
JP (1) JP7458919B2 (fr)
WO (1) WO2022009512A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117011189A (zh) * 2023-09-01 2023-11-07 中认尚动（上海）检测技术有限公司 一种空间明亮度评价方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004061150A (ja) * 2002-07-25 2004-02-26 Rikogaku Shinkokai 明るさ感の予測方法および予測プログラム
JP2010169583A (ja) * 2009-01-23 2010-08-05 Toyota Central R&D Labs Inc 照明環境判定装置及びプログラム
JP2013206812A (ja) * 2012-03-29 2013-10-07 Iwasaki Electric Co Ltd 調光システム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004061150A (ja) * 2002-07-25 2004-02-26 Rikogaku Shinkokai 明るさ感の予測方法および予測プログラム
JP2010169583A (ja) * 2009-01-23 2010-08-05 Toyota Central R&D Labs Inc 照明環境判定装置及びプログラム
JP2013206812A (ja) * 2012-03-29 2013-10-07 Iwasaki Electric Co Ltd 調光システム

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117011189A (zh) * 2023-09-01 2023-11-07 中认尚动（上海）检测技术有限公司 一种空间明亮度评价方法
CN117011189B (zh) * 2023-09-01 2024-03-19 中认尚动（上海）检测技术有限公司 一种空间明亮度评价方法

Also Published As

Publication number Publication date
JP2022014146A (ja) 2022-01-19
JP7458919B2 (ja) 2024-04-01

Similar Documents

Publication Publication Date Title
Inanici et al. An investigation of the daylighting simulation techniques and sky modeling practices for occupant centric evaluations
US10585474B2 (en) Electronic display illumination
JP2017142343A (ja) 表示装置及び表示装置の制御方法
JP2017015768A5 (fr)
US20120274809A1 (en) Electronic device and luminance adjusting method thereof
TWI556195B (zh) 影像分割裝置與影像分割方法
JP5141043B2 (ja) 画像表示装置および画像表示方法
US11175874B2 (en) Image display method
WO2022009512A1 (fr) Dispositif de prédiction de sensation de luminosité et programme de prédiction de sensation de luminosité
WO2014091675A1 (fr) Dispositif de terminal portable, procédé de commande de luminance et programme de commande de luminance
JP2015001580A5 (fr)
US20130162518A1 (en) Interactive Video System
JP6064354B2 (ja) 調光システム
JP2013519905A (ja) 画像処理装置、表示装置および画像処理方法
JP2019121069A (ja) 画像処理装置、画像処理方法、及びプログラム
CN109599068B (zh) 一种vr设备及其控制方法
CN109410813B (zh) 一种触控白板的调整方法及装置
JP6568460B2 (ja) 電動ブラインドの制御装置及び方法
US10748331B2 (en) 3D lighting
US9824487B2 (en) Storage medium, luminance computation apparatus and luminance computation method
JP6903458B2 (ja) 印象量推定方法、印象量推定装置、及び建物設計方法
US20130106845A1 (en) Stereoscopic image display apparatus
CN111968196B (zh) 存储器、夜景灯光纹理绘制方法、系统和设备
JP2007305139A5 (fr)
TWI469089B (zh) 影像判斷方法以及物件座標計算裝置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21837973

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21837973

Country of ref document: EP

Kind code of ref document: A1