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Riemannian computing in computer vision
Anuj Srivastava,
Pavan Turaga
Electrical Engineering
Arts, Media and Engineering, School of (AME)
Sensor, Signal and Information Processing Center (SenSIP)
Electrical, Computer, and Energy Engineering, School of (IAFSE-ECEE)
Research output
:
Book/Report
›
Book
23
Scopus citations
Overview
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Mathematics
Activity Recognition
100%
Face Recognition
85%
Computer Vision
60%
Figure
47%
Object Detection
44%
Structure from Motion
43%
Rotation matrix
35%
Geometric Analysis
33%
Camera
32%
Computing
31%
Symmetric Positive Definite Matrix
31%
Image Analysis
31%
Geometric Approach
28%
Imaging
28%
Statistical Inference
24%
Function Space
22%
Tensor
20%
Motion
18%
Subspace
17%
Modeling
16%
Closed
14%
Engineering & Materials Science
Face recognition
48%
Computer vision
42%
Diffusion tensor imaging
38%
Object detection
26%
Image analysis
24%
Cameras
17%
Computer simulation
13%