M-VIF: A machine-vision based on information fusion

The authors describe a new architecture for machine vision, which is based on information fusion approach. Its general design has been developed by using a formal computation model that integrates three main ingredients of the visual computation: the data, the models, and the algorithms. The hardware design and the software environment of M-VIF are also given. The simulation of M-VIF is under development on the HERMIA-machine.

[1]  B. Zavidovique,et al.  A pyramidal system for image processing , 1986 .

[2]  Joseph Naor,et al.  Multiple Resolution Texture Analysis and Classification , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Marco Ferretti,et al.  An architecture for image compression through wavelet transform , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,.

[4]  Franco Chiavetta,et al.  HERMIA: An Heterogeneous and Reconfigurable Machine for Image Analysis , 1990, MVA.

[5]  Luca Lombardi,et al.  Object Recognition and Location by a Bottom-Up Approach , 1988 .

[6]  Virginio Cantoni,et al.  The PAPIA system , 1991, J. VLSI Signal Process..

[7]  Russ Miller,et al.  Geometric Algorithms for Digitized Pictures on a Mesh-Connected Computer , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  横矢 直和,et al.  Quadtrees and Pyramids for Pattern Recognition and Image Processing , 1981 .

[9]  Kenneth E. Batcher,et al.  Design of a Massively Parallel Processor , 1980, IEEE Transactions on Computers.

[10]  Vito Di Gesù,et al.  An overview of pyramid machines for image processing , 1989, Inf. Sci..

[11]  Mitsuru Ishizuka,et al.  Realtime synthesis of moving human-like agent in response to user's moving image , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,.

[12]  Vito Di Gesù,et al.  The iconic interface for the PIctorial C language , 1992, Proceedings IEEE Workshop on Visual Languages.

[13]  T. Bernard,et al.  Smart retinas , 1991 .

[14]  Jenq-Neng Hwang,et al.  Proteus: a reconfigurable computational network for computer vision , 1992, Electronic Imaging.

[15]  Domenico Tegolo,et al.  PICTORIAL-C LANGUAGE FOR THE HERMIA-MACHINE , 1992 .

[16]  Leonard Uhr,et al.  Layered "Recognition Cone" Networks That Preprocess, Classify, and Describe , 1972, IEEE Transactions on Computers.

[17]  Marco Ferretti,et al.  Pyramidal Architectures for Computer Vision , 1994, Advances in Computer Vision and Machine Intelligence.

[18]  Christopher M. Brown,et al.  Issues in selective perception , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[19]  Steven L. Tanimoto,et al.  A hierarchical cellular logic for pyramid computers , 1984, J. Parallel Distributed Comput..

[20]  Gooitzen S. van der Wal,et al.  An architecture for multiresolution, focal, image analysis , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[21]  Carver A. Mead,et al.  Orientation-Selective VLSI Retina , 1988, Other Conferences.

[22]  Gaetano Gerardi,et al.  The Programmable and Configurable Low Level Vision Unit of the HERMIA Machine , 1992, MVA.

[23]  Jan J. Gerbrands,et al.  Image processing hardware for counting massive object streams , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,.

[24]  A. Machi,et al.  Some Examples of IP Algorithms for Pyramidal Architecture , 1986 .

[25]  Theodosios Pavlidis,et al.  A hierarchical data structure for picture processing , 1975 .