| dc.contributor.author |
Alvertos, N |
en |
| dc.contributor.author |
Brzakovic, D |
en |
| dc.contributor.author |
Gonzalez, R |
en |
| dc.date.accessioned |
2014-06-06T06:41:44Z |
|
| dc.date.available |
2014-06-06T06:41:44Z |
|
| dc.date.issued |
1989 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1109/34.35494 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/225 |
|
| dc.subject |
Computer Vision |
en |
| dc.subject |
Correspondence Problem |
en |
| dc.subject |
Geometric Constraints |
en |
| dc.subject |
Image Matching |
en |
| dc.subject |
Indexing Terms |
en |
| dc.subject |
Machine Vision |
en |
| dc.title |
Camera Geometries for Image Matching in 3-D Machine Vision |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1109/34.35494 |
en |
| heal.publicationDate |
1989 |
en |
| heal.abstract |
The location of a scene element can be determined from the disparity of two of its depicted entities (each in a different image). Prior to establishing disparity, however, the correspondence problem must be solved. It is shown that for the axial-motion stereo camera model the probability of determining unambiguous correspondence assignments is significantly greater than that for other stereo camera |
en |
| heal.journalName |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
en |
| dc.identifier.doi |
10.1109/34.35494 |
en |