Why aspect graphs are not (yet) practical for computer vision.
Olivier D. FaugerasJoe L. MundyNarendra AhujaCharles R. DyerAlex PentlandRamesh C. JainKatsushi IkeuchiKevin W. BowyerPublished 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