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» Robust Smooth Feature Extraction from Point Clouds
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WACV
2008
IEEE
14 years 1 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
ICCV
2007
IEEE
14 years 9 months ago
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
Özlem N. Subakan, Bing Jian, Baba C. Vemuri, ...
ICIP
2004
IEEE
14 years 9 months ago
Using multiscale top points in image matching
In this paper we discuss the feasibility of using singular points in a scale space representation (referred to as top points) for image matching purposes. These points are easily ...
Bram Platel, Frans Kanters, Luc Florack, Evguenia ...
MVA
1994
100views Computer Vision» more  MVA 1994»
13 years 9 months ago
A Pixel Voting Method to Recover 3D Object Shape from 2D Images
The purpose of this study is to extract 3D information from 2D images passively. Though the voting technique is one of the passive methods to obtain the 3D information effectively...
Kenpo Tsuchiya, Shuji Hashimoto, Toshiaki Matsushi...
ICCV
2011
IEEE
12 years 7 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid