Abstract
In this paper, foveated vision for scene exploration is implemented. The peripheral and central vision are the basic capabilities of foveated vision. The informations obtained from the peripheral vision are used to determine the next gaze point. Due to the low resolution of the periphery, however, the determination is not always appropriate. To solve this problem, we propose to evaluate the target object by the central vision after gazing. We implement foveated vision based on the Log Polar Mapping (LPM) and construct an evaluation scheme of the target object in the central vision using LPM rotational-invariance. The peripheral vision is realized by Zero Disparity Filter for LPM stereo images. Some experimental results are also shown to demonstrate the effectiveness of the proposed method.
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References
C. Capurro, F. Panerai and G. Sandini, “Dynamic Vergence”, IROS'96, Vol. 3, pp. 1241–1248, 1996.
L. Massone, G. Sandini and V. Tagliasco, “'Form-Invariant’ Topological mapping Strategy for 2D Shape Recognition”, Computer Vision, Graphics and Image Processing, No. 30, pp. 169–188, 1985.
T. J. Olson and D. J. Coombs, “Real-Time Vergence Control for Binocular Robots”, Int. Jounal of Computer Vision, Vol. 7, No. 1, pp. 67–89, 1991.
N. Oshiro, N. Maru, A. Nishikawa and F. Miyazaki, “Binocular Tracking using Log Polar Mapping”, IROS'96, Vol. 2, pp. 791–798, 1996.
R. D. Rimey and C. M. Brown, “Controlling Eye Movements with Hidden Markov Models”, Int. Journal of Computer Vision, Vol. 7, No. 1, pp. 47–65, 1991.
S. Rougeaux, N. Kita, Y. Kuniyoshi, S. Sakane and F. Chavand, “Binocular Tracking Based on Virtual Horopters”, IROS'94, Vol. 3, pp. 2052–2057, 1994.
E. L. Schwartz, “Computational Anatomy and Functional Architecture of Striate Cortex: a Spatial Mapping Approach to Perceptual Coding”, Vision Research, Vol. 20, pp. 645–669, 1980.
R. Wallace, R. W. Ong, B. Bederson and E. Schwartz, “Space Variant Image Processing”, Int. Journal of Computer Vision, Vol. 13, No. 1, pp. 71–90, 1994.
H. Yamamoto, Y. Yeshurun and M. D. Levine, “An Active Foveated Vision System: Attentional Mechanisms and Scan Path Covergence Measures”, Computer Vision and Image Understanding, Vol. 63, No. 1, pp. 50–65, 1996.
Y. Yeshurun, E. L. Schwartz, “Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation”, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 11, No. 7, pp. 759–767, 1989.
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© 1997 Springer-Verlag Berlin Heidelberg
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Oshiro, N., Nishikawa, A., Maru, N., Miyazaki, F. (1997). Foveated vision for scene exploration. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_129
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DOI: https://doi.org/10.1007/3-540-63930-6_129
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