Abstract | ||
---|---|---|
In this paper, we present a method for obtaining accurate 3D models by merging the carving and stereo-matching algorithms. Multiple views of an object are taken from known camera poses. Object images, when segmented, are used to carve a rough 3D model of the object. View synthesis results are compared with real object views in order to validate the recovered model. When errors are detected, commonly due to occlusions and/or concavities, a fine stereo-matching algorithm is applied. Obtained depth map updates the inconsistent areas of the object model. Performed tests show the reached improvements in the accuracy of the model. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1007/978-3-540-44871-6_57 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
depth map,object model | Computer vision,Carving,Pattern recognition,Computer science,Stereopsis,Occultation,Interpolation,Object model,View synthesis,Artificial intelligence,Depth map,Merge (version control) | Conference |
Volume | ISSN | Citations |
2652 | 0302-9743 | 3 |
PageRank | References | Authors |
0.49 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Enric X. Martín | 1 | 5 | 2.91 |
Joan Aranda | 2 | 14 | 7.37 |
Antonio B. Martinez | 3 | 4 | 1.86 |