Searching for authors named "Daphna Weinshall" – sorted by Relevance.
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Seeing "Ghost" Solutions in Stereo Vision
- A unique matching is a stated objective of most computational theodes of stereo vision. This report describes situations where humans perceive a small number of surfaces carded by non-unique matching of random dot patterns, although a unique solution exists and is observed unambiguously in the p
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The Computation of Multiple Matching in Doubly Ambiguous Stereograms with Transparent Planes
- Daphna Weinshall Center for Biological Information Processing, E25-201 MIT, Cambridge MA, 02139
- Cited by 1 (0 self) – Add To MetaCart
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Cognitive authentication schemes for unassisted humans, safe against spyware
- Authentication Schemes for Unassisted Humans, Safe Against Spyware Daphna Weinshall School of Computer Science
- Cited by 1 (1 self) – Add To MetaCart
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Cognitive authentication schemes safe against spyware (short paper
- Safe Against Spyware (Short Paper) Daphna Weinshall School of Computer Science and Engineering
- Cited by 13 (0 self) – Add To MetaCart
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Seeing "Ghost" Planes in Stereo Vision
- Seeing "Ghost" Planes in Stereo Vision Daphna Weinshall Center for Biological Information
- Cited by 5 (2 self) – Add To MetaCart
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Qualitative Depth From Stereo, With Applications
- Qualitative depth from stereo, with applications Daphna Weinshall CBIP, E25-201, MIT, Cambridge
- Cited by 10 (2 self) – Add To MetaCart
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Model-Based Invariants for 3D Vision
- Model-based invariants for 3D vision Daphna Weinshall IBM T.J. Watson Research Center, H1-B47 P
- Cited by 32 (8 self) – Add To MetaCart
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Local Shape Approximation from Shading
- Local Shape Approximation from Shading Daphna Weinshall Department of Computer Science
- Cited by 3 (0 self) – Add To MetaCart
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Image Classification from Small Sample, with Distance Learning and Feature Selection
- Image Classification from Small Sample, with Distance Learning and Feature Selection Daphna
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Computational Vision: A Critical Review
- We review the progress made in computational vision, as represented by Matt's approach, in the last fifteen years. First, we briefly outline computational theories developed for low, middle and high-level vision. We then discuss in more detail solutions proposed to three representative problems i
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