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YANG, D. K.-M. 1996. Shape from Darkness Under Error. PhD thesis, Columbia University.

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Implementation of a Shadow Carving System for Shape.. - Savarese, Rushmeier..   (Correct)

....of the beginning and ends of shadow regions. This is particularly problematic for attached shadows that are the end of a gradual transition of light to dark. Height estimates that use gradients derived from the estimate of the start of attached shadows are particularly prone to error. Yang [18] considers the problem of shape from shadows with error. He presents a modified form of Hatzitheodorou and Kender approach, in which linear programming is used to eliminate inconsistencies in the shadow data used to es timate the surface. While the consistency check does not guarantee any bounds ....

David Kwun-Moo Yang, Shape from Darkness Under Error, Ph.D. thesis, Columbia University, 1996.


Shadow Carving - Savarese, Rushmeier, Bernardini.. (2001)   (3 citations)  (Correct)

....and Kanade [1] established fundamental constraints that can be placed on the orientation of surfaces based on the observation of the shadows that one casts on another. Hambrick et al. 2] developed a method for labelling shadow boundaries that enables inferences about object shape. Yang [3] presents a review of many shape from shadows algorithms, and compares them to other shape from X techniques. Here we summarize the work most relevant to our approach. Hatzitheodorou and Kender [4] presented a method for computing a surface contour formed by a slice through an object ....

....of the beginning and ends of shadow regions. This is particularly problematic for attached shadows that are the end of a gradual transition of light to dark. Height estimates that use 1 gradients derived from the estimate of the start of attached shadows are particularly prone to error. Yang [3] considers the problem of shape from shadows with error. In our method we do not rely on knowing beginning and ends of shadow regions to compute surface shape. Similar to Yang s approach, we use the idea of consistency to avoid misinterpreting data. However, rather than comparing multiple shadow ....

David Kwun-Moo Yang, Shape from Darkness Under Error, Ph.D. thesis, Columbia University, 1996.


Non-Photorealistic Camera: Depth Edge Detection and Stylized . . . - Raskar, al. (2004)   (3 citations)  (Correct)

No context found.

YANG, D. K.-M. 1996. Shape from Darkness Under Error. PhD thesis, Columbia University.


Shape-Enhanced Surgical Visualizations and Medical.. - Tan, Kobler, Feris, .. (2005)   (Correct)

No context found.

Yang, D.K.M.: Shape from Darkness Under Error. PhD thesis, Columbia University (1996)


Shape-Enhanced Surgical Visualizations and Medical.. - Tan, Kobler, Feris, .. (2004)   (Correct)

No context found.

Yang, D.K.M.: Shape from Darkness Under Error. PhD thesis, Columbia University (1996)

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