Galteri et al., 2019 - Google Patents
Deep 3d morphable model refinement via progressive growing of conditional generative adversarial networksGalteri et al., 2019
View PDF- Document ID
- 990781351259701667
- Author
- Galteri L
- Ferrari C
- Lisanti G
- Berretti S
- Del Bimbo A
- Publication year
- Publication venue
- Computer Vision and Image Understanding
External Links
Snippet
Abstract 3D face reconstruction from a single 2D image is a fundamental Computer Vision problem of extraordinary difficulty. Statistical modeling techniques, such as the 3D Morphable Model (3DMM), have been widely exploited because of their capability of …
- 230000000750 progressive 0 title description 12
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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- G06K9/00275—Holistic features and representations, i.e. based on the facial image taken as a whole
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
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- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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