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» Generic Scene Recovery Using Multiple Images
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ICVGIP
2008
13 years 11 months ago
Object Category Recognition with Projected Texture
Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
Avinash Sharma, Anoop M. Namboodiri
ISBI
2004
IEEE
14 years 10 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 3 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
3DPVT
2002
IEEE
173views Visualization» more  3DPVT 2002»
14 years 2 months ago
Edge-Constrained Marching Triangles
Marching triangles is a method for producing a polygon mesh surface approximation composed of triangular facets which are approximately equilateral. This paper improves the Marchi...
Neil H. McCormick, Robert B. Fisher
ECCV
2008
Springer
14 years 12 months ago
Video Registration Using Dynamic Textures
We propose a dynamic texture feature-based algorithm for registering two video sequences of a rigid or nonrigid scene taken from two synchronous or asynchronous cameras. We model e...
Avinash Ravichandran, René Vidal