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» Fragmentation in the Vision of Scenes
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CVPR
1999
IEEE
16 years 1 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»
14 years 11 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 5 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 5 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 5 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