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» Point cloud matching based on 3D self-similarity
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ECCV
2008
Springer
16 years 1 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
PDPTA
1996
15 years 29 days ago
Stereo Vision and 3D Reconstruction on a Distributed Memory System
An important research topic in image processing is stereo vision. The objective is to compute a 3-dimensional representation of some scenery from two 2-dimensional digital images....
N. H. L. Kuijpers, G. Paar, Johan J. Lukkien
ICPR
2000
IEEE
16 years 21 days ago
Using Geometric Constraints for Matching Disparate Stereo Views of 3D Scenes Containing Planes
Several vision tasks rely upon the availability of sets of corresponding features among images. This paper presents a method which, given some corresponding features in two stereo...
Manolis I. A. Lourakis, Stavros V. Tzurbakis, Anto...
CVPR
2000
IEEE
16 years 1 months ago
Shape-Based 3D Surface Correspondence Using Geodesics and Local Geometry
This paper describes a new method for determining correspondence between points on pairs of surfaces based on shape using a combination of geodesic distance and surface curvature....
Yongmei Wang, Bradley S. Peterson, Lawrence H. Sta...
PAMI
2006
227views more  PAMI 2006»
14 years 11 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry