Name
Abstract | ||
|---|---|---|
Time-of-Flight (TOF) sensors provide range information at each pixel in addition to intensity information. They are becoming more widely available and more affordable. This paper examines the utility of dense TOF range data for image segmentation and tracking. Energy based formulations for image segmentation are used, which consist of a data term and a smoothness term. The paper proposes novel methods to incorporate range information, obtained from the TOF sensor, into the data and the smoothness term of the energy. Graph cut is used to minimize the energy. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5652979 | 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING |
Keywords | Field | DocType |
Segmentation, Time-of-flight | Cut,Graph theory,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image segmentation,Eye tracking,Minification,Artificial intelligence,Pixel | Conference |
ISSN | Citations | PageRank |
1522-4880 | 5 | 0.74 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Arif | 1 | 22 | 5.87 |
| Wayne Daley | 2 | 14 | 2.34 |
| Patricio A Vela | 3 | 369 | 39.12 |
| Jochen Teizer | 4 | 90 | 11.30 |
| John Stewart | 5 | 5 | 0.74 |