Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 234,232,848 papers from all fields of science
Search
Sign In
Create Free Account
Computer stereo vision
Known as:
3D computer vision
, Stereo computer vision
Computer stereo vision is the extraction of 3D information from digital images, such as obtained by a CCD camera. By comparing information about a…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
26 relations
3D reconstruction from multiple images
3D scanner
Aerial survey
Autostereoscopy
Expand
Broader (1)
Stereoscopy
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Documentation and Interpretation of an Archeological Excavation: an Experience with Dense Stereo Reconstruction Tools
M. Callieri
,
Nicolò Dell’Unto
,
M. Dellepiane
,
Roberto Scopigno
,
Bengt Soderberg
,
L. Larsson
IEEE Conference on Visual Analytics Science and…
2011
Corpus ID: 9653119
An archeological excavation is usually a rapidly evolving environment: several factors (weather, costs, permissions) force the…
Expand
2010
2010
Architecture design of stereo matching using belief propagation
Chao-Chung Cheng
,
Chung-Te Li
,
Chia-Kai Liang
,
Yen-Chieh Lai
,
Liang-Gee Chen
Proceedings of IEEE International Symposium on…
2010
Corpus ID: 10381713
We propose a new architecture for stereo matching using belief propagation. The architecture combines our fast, fully-parallel…
Expand
2010
2010
A Correlation-Based Approach for Real-Time Stereo Matching
Raj Kumar Gupta
,
Siu-Yeung Cho
International Symposium on Visual Computing
2010
Corpus ID: 34828953
In this paper, we present a new area-based stereo matching algorithm that computes dense disparity maps for a real time vision…
Expand
2010
2010
Robust Stereo Matching Combining SIFT Descriptor with NCC under MRF Framework
Wenkai Li
,
H. Yao
,
R. Ji
,
Pengfei Xu
,
Xianming Liu
,
Debin Zhao
First International Conference on Pervasive…
2010
Corpus ID: 16574604
There have been several stereo matching methods that perform well under the circumstance of color consistency. However, various…
Expand
2008
2008
Flexible Hardware-Based Stereo Matching
K. Ambrosch
,
W. Kubinger
,
M. Humenberger
,
A. Steininger
EURASIP Journal on Embedded Systems
2008
Corpus ID: 14733346
To enable adaptive stereo vision for hardware-based embedded stereo vision systems, we propose a novel technique for implementing…
Expand
2006
2006
Robot Rotation Decomposition Using Quaternions
Chao Hu
,
M. Meng
,
M. Mandal
,
P.X. Liu
International Symposium on Mechatronics and its…
2006
Corpus ID: 15879223
To decompose the three-dimension robot rotation into two sub-rotations, the rotation of the robot's main axis and the rotation…
Expand
Review
1999
Review
1999
Review of computer stereo vision technique
Feng Hua
1999
Corpus ID: 64119075
Computer stereo vision technique can be mainly described as two images combination, Moire contouring, Fourier transform…
Expand
1999
1999
A constraint to improve the reliability of stereo matching using the rank transform
Jasmine Banks
,
Bennamoun
,
K. Kubik
,
Peter Corke
IEEE International Conference on Acoustics…
1999
Corpus ID: 16140835
The rank transform is a non-parametric technique which has been previously proposed for the stereo matching problem. The…
Expand
1987
1987
Stereo Matching As Constrained Optimization Using Scale Continuation Methods
Demetri Terzopoulos
,
A. Witkin
,
M. Kass
Photonics West - Lasers and Applications in…
1987
Corpus ID: 121522357
A new stereo matching algorithm is developed and applied to natural scenes. The algorithm is based on a recent approach to…
Expand
1978
1978
On Computer Stereo Vision With Wire Frame Models
D. Burr
1978
Corpus ID: 60450592
Abstract : This report treats two major subproblems in computer stereo vision -- that of reconstructing 3-D scenes from stereo…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE