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» Using stereo for object recognition
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116
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ECCV
2008
Springer
16 years 5 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
ICIP
2004
IEEE
16 years 5 months ago
Improvement of phase-based algorithms for disparity estimation by means of magnitude information
Estimating depth information from two-dimensional stereoscopic image pairs is an important task in image processing. The disparity, i.e. the displacement of corresponding pixels i...
Udo Ahlvers, Udo Zölzer
132
Voted
3DPVT
2006
IEEE
176views Visualization» more  3DPVT 2006»
15 years 9 months ago
Belief Propagation for Panorama Generation
We present an algorithm for generating panoramic images of complex scenes from a multi-sensor camera. We further present a programmable graphics hardware implementation to process...
Alan Brunton, Chang Shu
129
Voted
IJCV
2002
96views more  IJCV 2002»
15 years 3 months ago
A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time
The analysis of the depth coordinates of objects in a visual scene is of vital importance for animals as well as in technological applications like autonomous robot navigation or p...
Bernd Porr, Bernd Nürenberg, Florentin Wö...
151
Voted
ICPR
2010
IEEE
15 years 10 months ago
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
Piotr Koniusz, Krystian Mikolajczyk