Abstract
The designer of a stereo imaging system often needs to know how the various system parameters affect the range estimation error. The probability density function of the range estimation error and the expected value of the range error magnitude are derived in terms of the various design parameters. In addition, the relative range error is proposed as a better way of quantifying the range resolution of a stereo imaging system.
Original language | English (US) |
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Pages (from-to) | 467-470 |
Number of pages | 4 |
Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Volume | 12 |
Issue number | 5 |
DOIs | |
State | Published - May 1990 |
Externally published | Yes |
Keywords
- Estimation theory
- image digitization
- quantization error
- stereoscopy
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics