Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to interpretation. The 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.

Optical pattern recognition. --- Graph theory --- Data processing. --- Numerical methods of optimisation --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Pattern recognition. --- Optical data processing. --- Data structures (Computer science). --- Algorithms. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Data Storage Representation. --- Algorithm Analysis and Problem Complexity. --- Algorism --- Algebra --- Arithmetic --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Foundations --- Optical equipment --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination