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公开(公告)号：AU2017261537B2
公开(公告)日：2019-10-03
申请号：AU2017261537
申请日：2017-11-15
Applicant: APPLE INC
Inventor： KEATING BRETT , WONG VINCENT , SACHS TODD , MOLGAARD CLAUS , ROUSSON MICHAEL , HARRIS ELLIOTT , TITI JUSTIN , HSU KARL , BRASKET JEFF , ZULIANI MARCO
Abstract: Abstract Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.
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公开(公告)号：CA2789887A1
公开(公告)日：2013-06-20
申请号：CA2789887
申请日：2012-09-17
Applicant: APPLE INC
Inventor： SOLEM JAN ERIK , ROUSSON MICHAEL
IPC: G06K9/46
Abstract: Systems, methods, and computer readable media for determining and applying face recognition parameter sets are described. In general, techniques are disclosed for identifying and constructing a unique combination of facial recognition discriminators into a "face feature vector" that has been found to be more robust (e.g., stable to image noise, a person's pose, and scene illumination) and accurate (e.g., provide high recognition rates) than prior art techniques. More particularly, a face feature vector may be generated by the combination of shape descriptors (e.g., as generated by two-dimensional and three-dimensional shape models) and texture descriptors (e.g., as generated by global and local texture models).
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Patent Agency Ranking
公开(公告)号：AU2014315547A1
公开(公告)日：2016-03-17
申请号：AU2014315547
申请日：2014-08-27
Applicant: APPLE INC
Inventor： KEATING BRETT , WONG VINCENT , SACHS TODD , MOLGAARD CLAUS , ROUSSON MICHAEL , HARRIS ELLIOTT , TITI JUSTIN , HSU KARL , BRASKET JEFF , ZULIANI MARCO
Abstract: Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.
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公开(公告)号：AU2017261537A1
公开(公告)日：2017-12-07
申请号：AU2017261537
申请日：2017-11-15
Applicant: APPLE INC
Inventor： KEATING BRETT , WONG VINCENT , SACHS TODD , MOLGAARD CLAUS , ROUSSON MICHAEL , HARRIS ELLIOTT , TITI JUSTIN , HSU KARL , BRASKET JEFF , ZULIANI MARCO
Abstract: Abstract Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.
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公开(公告)号：CA2789887C
公开(公告)日：2015-11-17
申请号：CA2789887
申请日：2012-09-17
Applicant: APPLE INC
Inventor： SOLEM JAN ERIK , ROUSSON MICHAEL
IPC: G06K9/46
Abstract: Systems, methods, and computer readable media for determining and applying face recognition parameter sets are described. In general, techniques are disclosed for identifying and constructing a unique combination of facial recognition discriminators into a "face feature vector" that has been found to be more robust (e.g., stable to image noise, a person's pose, and scene illumination) and accurate (e.g., provide high recognition rates) than prior art techniques. More particularly, a face feature vector may be generated by the combination of shape descriptors (e.g., as generated by two-dimensional and three-dimensional shape models) and texture descriptors (e.g., as generated by global and local texture models).
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公开(公告)号：AU2012227166B2
公开(公告)日：2014-05-22
申请号：AU2012227166
申请日：2012-09-18
Applicant: APPLE INC
Inventor： SOLEM JAN ERIK , ROUSSON MICHAEL
Abstract: FACE FEATURE VECTOR CONSTRUCTION Abstract Systems, methods, and computer readable media for determining and applying face recognition parameter sets are described. In general, techniques are disclosed for identifying and constructing a unique combination of facial recognition discriminators into a "face feature vector" that has been found to be more robust (e.g., stable to image noise, a person's pose, and scene illumination) and accurate (e.g., provide high recognition rates) than prior art techniques. More particularly, a face feature vector may be generated by the combination of shape descriptors (e.g., as generated by two-dimensional and three-dimensional shape models) and texture descriptors (e.g., as generated by global and local texture models). 2D SHAPE DESC. 210 3D SHAPE DESC. 215 GLOBAL | GLOBAL TEXTURE DESC. 230 TEXTURE MODEL LOCAL LOCAL TEXTURE DESC. TEXTURE MODEL ' 235 FACE FEATURE
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公开(公告)号：AU2012227166A1
公开(公告)日：2013-07-04
申请号：AU2012227166
申请日：2012-09-18
Applicant: APPLE INC
Inventor： SOLEM JAN ERIK , ROUSSON MICHAEL
Abstract: FACE FEATURE VECTOR CONSTRUCTION Abstract Systems, methods, and computer readable media for determining and applying face recognition parameter sets are described. In general, techniques are disclosed for identifying and constructing a unique combination of facial recognition discriminators into a "face feature vector" that has been found to be more robust (e.g., stable to image noise, a person's pose, and scene illumination) and accurate (e.g., provide high recognition rates) than prior art techniques. More particularly, a face feature vector may be generated by the combination of shape descriptors (e.g., as generated by two-dimensional and three-dimensional shape models) and texture descriptors (e.g., as generated by global and local texture models). 2D SHAPE DESC. 210 3D SHAPE DESC. 215 GLOBAL | GLOBAL TEXTURE DESC. 230 TEXTURE MODEL LOCAL LOCAL TEXTURE DESC. TEXTURE MODEL ' 235 FACE FEATURE
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