Book ChapterDOI
Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving
Annie Yao,Andrew Calway +1 more
- pp 379-390
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TLDR
A novel approach to view interpolation from image sequences based on probabilistic depth carving that builds a multivalued representation of depth for novel views consisting of likelihoods of depth samples corresponding to either opaque or free space points.Abstract:
We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel views consisting of likelihoods of depth samples corresponding to either opaque or free space points. The likelihoods are obtained from iterative probabilistic combination of local disparity estimates about a subset of reference frames. This avoids the difficult problem of correspondence matching across distant views and leads to an explicit representation of occlusion. Novel views are generated by combining pixel values from the reference frames based on estimates of surface points within the likelihood representation. Efficient implementation is achieved using a multiresolution framework. Results of experiments on real image sequences show that the technique is effective.read more
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Proceedings ArticleDOI
Change Detection in a 3-d World
TL;DR: This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose, and is the first to address the change detection problem in such a general framework.
Journal ArticleDOI
Dense height map estimation from oblique aerial image sequences
TL;DR: A dense matching process based on the minimization of a multi-view pixelwise similarity criterion combined with a discretized L1-norm or total variation (TV) regularization term is proposed for dense height map reconstruction from aerial oblique image sequences.
References
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Good features to track
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TL;DR: A feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world are proposed.
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The Laplacian Pyramid as a Compact Image Code
Peter J. Burt,Edward H. Adelson +1 more
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Journal ArticleDOI
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Malay Ghosh,James O. Berger +1 more
Book
Statistical Decision Theory and Bayesian Analysis
TL;DR: An overview of statistical decision theory, which emphasizes the use and application of the philosophical ideas and mathematical structure of decision theory.
Proceedings ArticleDOI
The lumigraph
TL;DR: A new method for capturing the complete appearance of both synthetic and real world objects and scenes, representing this information, and then using this representation to render images of the object from new camera positions.