|
Published Articles >> Table of Contents >> Abstract
December 1995 (Vol. 17, No. 12)
pp. 1213-1219
Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active Vision
Subhodev Das
Narendra Ahuja
Full Article Text:
   
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.476513
Send link to a friend
| Abstract |
|
Abstract—This paper compares the performances of the binocular cues of stereo and vergence, and the monocular cue of focus for range estimation using an active vision system. The performance of each cue is characterized in terms of sensitivity to errors in the imaging parameters. The effects of random, quantization errors are expressed in terms of the standard deviation of the resulting depth error. The effect of systematic, calibration errors on estimation using each cue is also studied. Performance characterization of each cue is utilized to evaluate the relative performance of the cues. Also discussed, based on such characterization, are ways to select a cue taking into account the computational and reliability aspects of the corresponding estimation process.
|
 References
|
[1] N. Ahuja and L. Abbott,“Surfaces from dynamic stereo: Integrating camera vergence,focus, and calibration with stereo surface reconstruction,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1,007-1,029, Oct. 1993.
[2] S. D. Blostein and T. S. Huang,“Error Analysis in Stereo Determination of 3-D Point Positions”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 6, pp. 752-765, Nov. 1987.
[3] S. Das and N. Ahuja,“Multiresolution image acquisition and surface reconstruction,” Proc. Third Intl Conf. Computer Vision,Osaka, Japan, pp. 485-488, Dec. 1990.
[4] A. Huertas and G. Medioni,“Detection of intensity changes with subpixel accuracy using laplacian-gaussian masks,” IEEE Trans. Pattern Analysis Machine Intelligence, vol. 8, no. 5, pp. 651-664, 1986.
[5] B. Kamgar-Parsi and B. Kamgar-Parsi, "Evaluation of quantization error in computer vision," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, no 9, pp. 929-940, Sept. 1989.
[6] E.P. Krotkov,Active Computer Vision by Cooperative Focus and Stereo.New York: Springer-Verlag, 1989.
[7] L. Matthies and S.A. Shafer, "Error Modeling in Stereo Navigation," IEEE J. Robotics and Automation, vol. 3, no. 3, pp. 239-248, June 1987.
[8] A. Pentland, "A New Sense for Depth of Field, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 9, no. 4, pp. 523-531, July 1987.
[9] J.J. Rodríguez and J.K. Aggarwal,“Stochastic analysis of stereo quantization error,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 5, pp. 467-470, May 1990.
[10] M.A. Snyder,“Uncertainty analysis of image measurements,” DARPA Image Understanding Workshop, pp. 681-693,Los Angeles, Calif., Feb. 1987.
|
 Additional Information
|
Index Terms- Active vision, range from stereo, range from vergence, range from focus, performance evaluation, uncertainty analysis.
Citation:
Subhodev Das, Narendra Ahuja,
"Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active Vision,"
IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 17,
no. 12,
pp. 1213-1219,
Dec.,
1995
|
|
RSS Feed