Skip to main navigation
Skip to search
Skip to main content
Tel Aviv University Home
Update Request & User Guide (TAU staff only)
Home
Experts
Research units
Research output
Prizes
Activities
Press/Media
Student theses
Search by expertise, name or affiliation
A geometric approach for regularization of the data term in stereo-vision
Rami Ben-Ari
*
,
Nir Sochen
*
Corresponding author for this work
School of Mathematical Sciences
Tel Aviv University
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A geometric approach for regularization of the data term in stereo-vision'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Geometric Approach
100%
Global Methods
100%
Stereo Vision
100%
Geometric Framework
50%
Variational Methods
50%
Spatial Intensity
50%
Real Image
50%
Piecewise Smooth
50%
Spatial Coordinates
50%
Middlebury
50%
Correspondence Problem
50%
Local Method
50%
Correlation Technique
50%
Matching Variables
50%
Smooth Constraint
50%
Geographic Disparities
50%
Anisotropic Regularization
50%
Engineering
Regularization
100%
Space Data
100%
Stereovision
100%
Data Term
100%
Global Method
66%
Experimental Result
33%
Filtration
33%
Anisotropic
33%
Real Image
33%
Spatial Coordinate
33%
Local Method
33%
Mathematics
Regularization
100%
Data Space
100%
Global Method
66%
Variational Method
33%
Real Image
33%
Piecewise Smooth
33%
Computer Science
Regularization
100%
Stereo Vision
100%
Geometric Approach
100%
Experimental Result
33%
Correspondence Problem
33%