Paper:
Positional Features and Algorithmic Predictability of Visual Regions-of-Interest in Robot Hand Movement
Toyomi Fujita* and Claudio M. Privitera**
*Department of Electronics and Intelligent Systems Tohoku Institute of Technology Sendai 982-8577, Japan
**School of Optometry, University of California Berkeley, CA 94720, USA
- [1] D. Noton and L. Stark, “Eye Movements and visual Perception” Scientific American, 224(6), pp. 34-43, June 1971.
- [2] L. Stark and Y. Choi, “Experimental Metaphysics:The Scanpath as an Epistemological Mechanism,” chapter 1, pp. 3-69, Elsevier Science B.V., 1996.
- [3] L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(11), pp. 1254-1259, November 1998.
- [4] K. Schill, E. Umkehrer, S. Beinlich, G. Krieger, and C. Zetzsche, “Scene analysis with saccadic eye movements: Top-down and bottom-up modeling” J. of Electronic Imaging, 10(1), pp. 152-160, January 2001.
- [5] I. A. Rybak, V. I. Gusakova, A. V. Golovan, L. N. Podladchikova, and N. A. Shevtsova, “A model of attention-guided visual perception and recognition” Vision Research, 38, 1998.
- [6] C. M. Privitera and L. W. Stark, “Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations” PAMI, 22(9), pp. 970-982, 2000.
- [7] T. Fujita, C. M. Privitera, and L. W. Stark, “Consistency and Predictability of Visual Regions-of-Interest to Image Types” In 5th Asia-Pacific Conf. on Vision (APCV’08) Abstract, 2008.
- [8] L. W. Stark, C. M.Privitera, H. Yang, M. Azzariti, Y. F. Ho, T. Blackmon, and D. Chernyak, “Representation of human vision in the brain: How does human perception recognize images?,” J. of Electronic Imaging, 10(1), pp. 123-151, January 2001.
- [9] D. Noton and L. Stark, “Scanpaths in Eye Movements during Pattern Perception,” Science, 171, pp. 308-311, January 1971.
- [10] C. M. Privitera, O. Gallo, G. Grimoldi, T. Fujita, and L. W. Stark, “Combining conspicuity maps for hROIs prediction,” 2nd Int. Workshop on Attention and Performance in Computational Vision (WAPCV 2004), pp. 104-111, 2004.
- [11] L. Itti and C. Koch, “Computational modelling of visual attention," Nature Reviews Neuroscience, 2, pp. 194-203, March 2001.
- [12] A. Rotenstein, A. Rothenstein, M. Robinson, and J. Tsotsos, “Robot middleware should support task-directed perception,” In ICRA 2007 Workshop on Software Development and Integration into Robotics, 2007.
- [13] B. Khadhouri and Y. Demiris, “Compound Effects of Top-down and Bottom-up Influences on Visual Attention During Action Recognition” In Int. joint conf. on artificial intelligence (IJCAI), pp. 1458-1463, 2005.
- [14] S.-W. Ban, M. Lee, and H.-S. Yang, “A face detection using biologically motivated bottom-up saliency map model and top-down perception model” Neurocomputing, 56, pp. 475-480, 2004.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.
Copyright© 2009 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.