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Probabilistic method for integrating multiple sources of range data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bove, V. Michael |
| Copyright Year | 1990 |
| Abstract | It is suggested that passive-camera range-sensing methods be considered as returning not just range values but rather probability density functions, characterized by two-dimensional arrays of both expected value and variance. Employing variance data permits probabilistic integration of the range values from multiple range-sensing algorithms, with results demonstrably superior to simple averaging. This method is analyzed and carried out for sign-bit correlation stereopsis and two-lens depth-from-focus. Calculating the Cramer–Rao lower bound on variance for these two range-sensing algorithms can be done with relatively little additional computation. |
| Starting Page | 2193 |
| Ending Page | 2198 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.1364/JOSAA.7.002193 |
| Alternate Webpage(s) | http://excedrin.media.mit.edu/wp-content/uploads/sites/10/2013/07/BoveIntegratingRangeData.pdf |
| Alternate Webpage(s) | http://web.media.mit.edu/~vmb/papers/BoveIntegratingRangeData.pdf |
| Alternate Webpage(s) | http://dsmall.www.media.mit.edu/~vmb/papers/BoveIntegratingRangeData.pdf |
| Alternate Webpage(s) | http://www.media.mit.edu/~vmb/papers/BoveIntegratingRangeData.pdf |
| Alternate Webpage(s) | https://doi.org/10.1364/JOSAA.7.002193 |
| Volume Number | 7 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
