VARTAC: A foveal active vision ATR system

Neural Networks

Volumn 8, Issue 7-8, 1995, Pages 1309-1321

  Hecht Nielsen, Robert ^a,b   Zhou, Yi Tong ^a  

^a HNC Software Inc   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Active vision; Automatic target recognition; Foreal vision; Neural network

Indexed keywords

CALCULATIONS; GEOMETRY; IMAGE SENSORS; INFRARED IMAGING; LEARNING SYSTEMS; NEURAL NETWORKS; OBJECT RECOGNITION; PROBABILITY;

AUTOMATIC TARGET RECOGNITION; FOVEAL ACTIVE VISION; VIRTUAL AGILE RETINA TARGET ACQUISITION AND CLASSIFICATION;

COMPUTER VISION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; PRIORITY JOURNAL; RECOGNITION; SENSOR; VISION;

EID: 0029619392     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(95)00106-9     Document Type: Article

References (50)

1. A survey of selective fixation control for machine vision
2. Active perception vs. passive perception
3. Active perception
4. A miniaturized active vision system
5. A neural network for invariant pattern recognition
6. Distortion invariant object recognition by matching hierarchically labeled graphs
7. Size and distortion invariant object recognition by hierarchical graph matching
8. Smart ssensing within a pyramid machine
9. Invariant recognition of cluttered scenes by a self-organizing ART CORT-X boundary segmentation
10. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by twodimensional visual cortical filters
11. Image analysis and compact coding by oriented 2-D Gabor primitives
12. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
13. Relaxation neural network for nonorthogonal image transforms
14. Pattern and motion vision without Laplacian zero crossings
15. Image statistics, gases, and visual neural primitives
16. Shape representation by Gabor expansion
17. Spacevariant active vision and visually guided robotics: Design and construction of a high-performance miniature vehicle
18. Triclops: A tool for studying active vision
19. Active vision in the system with a moving visual sensor
20. Scene analysis procedures for target-directed visual perception
21. A hardware implementation of bionic principles of visual perception in the robot vision
22. Processing complexity of two approaches to object detection and recognition
23. Neural networks for image analysis
24. A low cost foveal vision system
25. Early vision, local attention, and neural nets
26. Active vision for reliable ranging: Cooperating focus, stereo, and vergence
27. Considerations for a visual architecture
28. Mathematical description of the responses of simple cortical cells
29. Spatial computation performed by simple and complex cells in the visual cortex of the cat
30. Neural network classifiers estimate Bayesian a posteriori probabilities
31. The multilayer perceptron as an approximation to a Bayes optimal discriminant function
32. Approach to invariant object recognition on grey-level images by exploiting neural network models
33. A visual cortex domain model and its use for visual information processing
34. The model of the neural network visual preprocessor
35. Computer simulation and experimental study of orientational selectivity in the visual cortex
36. A visual cortex domain model and its use for visual information processing
37. Bionic model of a “eye-hand” system for robot visual-motor coordination
38. Formation of description of environment by a robot on the basis of sensomotor relationships: An experimental study
39. An anthropmorphic retina-like structure for scene analysis
40. Active vision based on spacevariant sensing
41. Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception
42. Neural network classification: A Bayesian interpretation
43. Pattern segmentation in associative memory
44. Tracking algorithms using log-polar mapped image coordinates
45. Logarithmic spiral grids for image processing and display
46. Neural computers for foveating vision systems
47. Pyramidal image representation in non-uniform systems