Analogue VLSI primitives for perceptual tasks in machine vision

Neural Computing and Applications

Volumn 7, Issue 3, 1998, Pages 216-228

  Bisio, G M ^a   Raffo, L ^b   Sabatini, S P ^a  

^a UNIVERSITY OF GENOA   (Italy)

^b UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

Cooperative computation; Filter sensitivity; Gabor filters; Resistive networks; Stereo algorithms

Indexed keywords

EID: 0032276363     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01414883     Document Type: Article

References (23)

1. Koch C, Mathur B. Neuromorphic vision chips. IEEE Spectrum 1996; 33(5): 38-46.
2. Koenderink JJ. Scale-time. Biol Cybern 1988; 58: 159-162.
3. Raffo L. Analysis and synthesis of resistive networks for distributed visual elaborations. Electr Lett 1996; 32(8): 743.
4. Matsumoto T, Kobayashi H, Togawa Y. Spatial versus temporal stability issues in image processing neuro chips. IEEE Trans Neural Networks 1992; 3(4): 540-569.
5. Marr D. Vision. New York: Freeman, 1982.
6. Parker A, Hawken M-J. Two dimensional spatial structure of receptive fields in monkey striate cortex. J Opt Soc Am 1988; 5(4): 598-605.
7. Malik J, Perona P. Preattentive texture discrimination with early vision mechanisms. J Opt Soc Am 1990; 7: 923-932.
8. Daugman JG. Uncertainty relation for resolution in space, spatial frequency, and orientation optimised by two-dimensional visual cortical filters. J Opt Soc Am 1985; A/2: 1160-1169.
9. Porat M, Zeevi YY. The generalised Gabor scheme of image representation in biological and machine vision. IEEE Trans PAMI 1988; 10(4): 452-467.
10. Bisio GM, Raffo L, Sabatini SP, Solari F. Computational and implementation strategies for smart sensors in early vision. Technical Report PSPC-97-02, DIBE University of Genoa, 1997.
11. Mead CA. Analog VLSI and Neural Systems. Reading, MA: Addison-Wesley, 1989.
12. Vittoz EA. Analog VLSI signal processing: Why, where, and how? J VLSI Signal Process 1994; 8: 27-44.
13. Wechsler H. Multiscale and distributed visual representations and mappings for invariant low-level perception. In: H Wechsler, (editor), Neural Networks for Perception I, Academic Press, 1992, pp. 462-476.
14. Farrokhnia F. Multi-channel filtering techniques for texture segmentation and surface quality inspection. PhD thesis, Hielipan State University, 1990.
15. Kulikowski JJ, Marčelja S, Bishop PO. Theory of spatial position and spatial frequency relations in the receptive fields of simple cells in the visual cortex. Biol Cybern 1982; 43: 187-198.
16. Tsividis Y, Czarnul Z, Fang SC. MOS transcondactors and integrators with high linearity. Electr Lett 1986; 22: 245-246.
17. Raffo L, Sabatini SP, Bo GM, Bisio GM. Visual perception microsystems based on distributed analog VLSI processing. Proc 2nd Int Workshop on Mechatronical Computer Systems for Perception and Action (MCPA'97), Pisa, Italy, February 1997; 13-21.
18. Sanger TD. Stereo disparity computation using Gabor filters. Biol Cybern 1988; 59: 405-418.
19. Howard IP, Rogers BJ. Binocular Vision and Stereopsis. Oxford: Oxford University Press, 1995.
20. Adelson EH, Bergen JR. Spatiotemporal energy models for the perception of motion. J Opt Soc Am 1985; 2: 284-321.
21. Watson AB, Ahumada AJ. Model of human visual-motion sensing. J Opt Soc Am 1985; 2: 322-341.
22. Qian N. Binocular disparity and the perception of depth. Neuron 1997; 18: 359-368.
23. Nowlan SJ, Sejnowski TJ. Filter selection model for motion segmentation and velocity integration. J Opt Soc Am 1994; 11: 3177-3200.