Classifications

• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
  • H04N23/60—Control of cameras or camera modules
  • H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
  • H04N23/60—Control of cameras or camera modules
  • H04N23/61—Control of cameras or camera modules based on recognised objects
  • H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/70—Determining position or orientation of objects or cameras
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/10—Image acquisition modality
  • G06T2207/10004—Still image; Photographic image
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/30—Subject of image; Context of image processing
  • G06T2207/30196—Human being; Person
  • G06T2207/30201—Face

Definitions

• FIG. 3 is a flowchart of one implementation of a method of capturing an image.
• the image is scored.
• the image score may be a weighted average score of the scores determined in processing blocks 510-525.
• the image score may also be based on face scores determined by process 320, illustrated in FIG. 4. Process 325 then moves to end block 540.
• Table 1 illustrates that several subjects have been detected by the imaging device. These subjects may have been detected by instructions included in a subject detection module 250, illustrated in FIG. 2, as one example. These subjects are listed in column 1.
• Column 2 of Table 1 identifies the subjects by listing their identification numbers in FIG. 7.
• Column 3 lists a name of a subject if known by the implementation.
• the subjects listed in column 1 may have been identified by a face recognition module 252 of FIG 2.
• names may be generated by the implementation.
• some implementations may generate a name based on the subject's position in the image. For example, in an image that includes four subjects, an implementation may generate names such as "subject on the top left,”, "subject on the bottom left,” “subject on the top right,” and subject on the bottom right.”
• Table 2 illustrates a portion of the component scores from Table 1 after they are prioritized.
• the prioritization may be based on a weighted score derived from the component score and an assigned weight.
• the prioritization is shown by the order in the table, with the rows of the table ordered from highest priority subjects and scores, in row 1, to lower priority subjects and scores.
• the weight may be assigned based on the score type.
• Other implementations may have other methods of assigning a weight to a component score.
• the direction score of Lynelle, subject 2, Reference 112 has been prioritized highest in the illustrated implementation. As shown in preview image 100 of FIG. 7, Lynelle' s face 112 is looking down such that it is barely discernible in the preview image 100. Next in priority is subject 2, Reference 104, Kaleb, who is also looking down such that his face cannot be readily observed in the image. Note that this implementation prioritized Kaleb because his direction score was low, as shown by the "score type" column, whereas subject 8, Reference 110, was prioritized lower than Kaleb. While subject 8 had a low smile score, its weight was lower than the direction score weight, resulting in a lower priority than either Lynelle or Kaleb.
• a processor may be any conventional general purpose single- or multi-chip processor such as a Pentium ® processor, a Pentium ® Pro processor, a 8051 processor, a MIPS ® processor, a Power PC ® processor, or an Alpha ® processor.
• the processor may be any conventional special purpose processor such as a digital signal processor or a graphics processor.
• the processor typically has conventional address lines, conventional data lines, and one or more conventional control lines.

Landscapes

• Engineering & Computer Science (AREA)
• Multimedia (AREA)
• Signal Processing (AREA)
• Computer Vision & Pattern Recognition (AREA)
• Physics & Mathematics (AREA)
• General Physics & Mathematics (AREA)
• Theoretical Computer Science (AREA)
• Studio Devices (AREA)
• Image Analysis (AREA)

Priority Applications (5)

Applications Claiming Priority (4)

Publications (1)

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Family Applications (1)

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Citations (5)

Family Cites Families (21)

• 2012
  • 2012-09-12 US US13/612,215 patent/US9036069B2/en active Active
• 2013
  • 2013-01-29 KR KR1020147025020A patent/KR101632819B1/ko not_active Expired - Fee Related
  • 2013-01-29 JP JP2014555624A patent/JP5864783B2/ja not_active Expired - Fee Related
  • 2013-01-29 EP EP13703691.9A patent/EP2813064A1/en not_active Withdrawn
  • 2013-01-29 WO PCT/US2013/023654 patent/WO2013119420A1/en not_active Ceased
  • 2013-01-29 KR KR1020157022226A patent/KR102014578B1/ko active Active
  • 2013-01-29 CN CN201380007992.4A patent/CN104094590B/zh not_active Expired - Fee Related
• 2015
  • 2015-04-08 US US14/681,949 patent/US9392163B2/en not_active Expired - Fee Related

Patent Citations (5)

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