Why aspect graphs are not (yet) practical for computer vision.

Olivier D. Faugeras Joe L. Mundy Narendra Ahuja Charles R. Dyer Alex Pentland Ramesh C. Jain Katsushi Ikeuchi Kevin W. Bowyer

Published in: CVGIP Image Underst. (1992)

Keyphrases

computer vision
pattern recognition
graph theory
practical application
video surveillance
pose estimation
action recognition
computer graphics
image understanding

image segmentation
real world
scene analysis
problems in computer vision
graph matching
weighted graph
directed graph
camera calibration
graph databases

vision system
signal processing
object detection
face detection
image sequences
machine learning
data mining
database
practical problems

graph theoretic
data sets
graph representation
graph mining
case study
video sequences
image features
motion estimation