Gadelha et al., 2020 - Google Patents
Inferring 3D shapes from image collections using adversarial networksGadelha et al., 2020
View PDF- Document ID
- 15948773260126938789
- Author
- Gadelha M
- Rai A
- Maji S
- Wang R
- Publication year
- Publication venue
- International Journal of Computer Vision
External Links
Snippet
We investigate the problem of learning a probabilistic distribution over three-dimensional shapes given two-dimensional views of multiple objects taken from unknown viewpoints. Our approach called projective generative adversarial network (PrGAN) trains a deep …
- 230000011218 segmentation 0 abstract description 17
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- 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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- G06K9/46—Extraction of features or characteristics of the image
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