Semi-Global Matching: A New Approach to Stereo Matching
GPTKB entity
Statements (14)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
Heiko Hirschmüller
|
| gptkbp:citation |
highly cited
|
| gptkbp:contribution |
introduces a new cost aggregation method for stereo matching
|
| gptkbp:field |
computer vision
stereo matching |
| gptkbp:focusesOn |
dense stereo correspondence
|
| gptkbp:hasMethod |
Semi-Global Matching (SGM)
|
| https://www.w3.org/2000/01/rdf-schema#label |
Semi-Global Matching: A New Approach to Stereo Matching
|
| gptkbp:impact |
widely used in computer vision applications
|
| gptkbp:publicationYear |
2005
|
| gptkbp:publishedIn |
gptkb:IEEE_Conference_on_Computer_Vision_and_Pattern_Recognition_(CVPR)
|
| gptkbp:bfsParent |
gptkb:Hans_Hirschmüller
|
| gptkbp:bfsLayer |
7
|