Name
Abstract | ||
|---|---|---|
Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, the inference of rigidity and reflectance are both difficult without additional information about the object's shape, the environment, or lighting. For humans, relative motions of object and observer provides rich information about object shape, rigidity, and reflectivity. We show that it is possible to detect rigid object motion for both specular and diffuse reflective surfaces using only optic flow, and that flow can distinguish specular and diffuse motion for rigid objects. Unlike nonrigid objects, optic flow fields for rigid moving surfaces are constrained by a global transformation, which can be detected using an optic flow matching procedure across time. In addition, using a Procrustes analysis of structure from motion reconstructed 3D points, we show how to classify specular from diffuse surfaces. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-03767-2_107 | CAIP |
Keywords | Field | DocType |
specular motion,rigid object,key object property,stratify motion reconstruction algorithm,reflectance classification.,rigid object motion,relative motion,optic flow field,optic flow,diffuse motion,rigidity detection,object rigidity,nonrigid object,object shape,rapid inference,structure from motion,diffuse reflectance,optical flow | Rigidity (psychology),Structure from motion,Computer vision,Computer science,Specular reflection,Flow (psychology),Property (programming),Procrustes analysis,Artificial intelligence,Observer (quantum physics),Reflective surfaces | Conference |
Volume | ISSN | Citations |
5702 | 0302-9743 | 2 |
PageRank | References | Authors |
0.41 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Di Zang | 1 | 98 | 12.40 |
| Katja Doerschner | 2 | 5 | 2.23 |
| Paul R. Schrater | 3 | 141 | 22.71 |