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» Fragmentation in the Vision of Scenes
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CVPR
1999
IEEE
16 years 3 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
MVA
2007
142views Computer Vision» more  MVA 2007»
15 years 1 months ago
Shadow based texture registration for 3D modeling of outdoor scenes
This paper presents a novel method for the registration of texture images with a 3D model of outdoor scenes. We pose image registration as an optimization problem that uses knowled...
Alejandro Troccoli, Peter K. Allen
CVPR
2005
IEEE
15 years 7 months ago
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes
This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete ...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li
ICCV
2005
IEEE
15 years 7 months ago
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
We present a technique for local image representation that is invariant to viewpoint for scenes with arbitrary non-planar shape. We show that generic viewpoint invariance can be a...
Andrea Vedaldi, Stefano Soatto
BVAI
2005
Springer
15 years 7 months ago
A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes
Abstract. Vision is a crucial sensor. It provides a very rich collection of information about our environment. However, not everything in a visual scene is relevant for the task at...
Fred Henrik Hamker