Keywords
Computer scienceArtificial intelligenceGround truthTaxonomy (biology)SoftwareMatching (statistics)Set (abstract data type)Frame (networking)Computer visionStereopsisData miningMathematics
Affiliated Institutions
Related Publications
Efficient representation of traffic scenes by means of dynamic stixels
Correlation based stereo vision has proven its power in commercially available driver assistance systems. Recently, real-time dense stereo vision has become available on inexpen...
An Iterative Image Registration Technique with an Application to Stereo Vision
Image registration finds a variety of applications in computer vision. Unfortunately, traditional image registration techniques tend to be costly. We present a new image registr...
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs. Nowadays,...
SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision
The development and application of modern technology are an essential basis for the efficient monitoring of species in natural habitats to assess the change of ecosystems, speci...
3-D surface description from binocular stereo
A stereo vision system that attempts to achieve robustness with respect to scene characteristics, from textured outdoor scenes to environments composed of highly regular man-mad...
Publication Info
- Year
- 2002
- Type
- article
- Volume
- 47
- Issue
- 1-3
- Pages
- 7-42
- Citations
- 6650
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
6650
OpenAlex
Cite This
Daniel Scharstein,
Rick Szeliski,
Ramin Zabih
(2002).
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms.
International Journal of Computer Vision
, 47
(1-3)
, 7-42.
https://doi.org/10.1023/a:1014573219977
Identifiers
- DOI
- 10.1023/a:1014573219977