Name
Abstract | ||
|---|---|---|
In this paper, we present a hybrid multi-view camera system for real-time depth generation. We set up eight color cameras and three depth cameras. For simple test scenarios, we capture a single object at a blue-screen studio. The objective is depth map generation at eight color viewpoints. Due to hardware limitations, depth cameras produce low resolution images, i.e., 176×144. Thus, we warp the depth data to the color cameras views (1280×720) and then execute filtering. Joint bilateral filtering (JBF) is used to exploit range and spatial weights, considering color data as well. Simulation results exhibit depth generation of 13 frames per second (fps) when treating eight images as a single frame. When the proposed method is executed on a computer per depth camera basis, the speed can become three times faster. Thus, we have successfully achieved real-time depth generation using a hybrid multi-view camera system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/APSIPA.2014.7041683 | APSIPA |
Keywords | Field | DocType |
real-time depth map generation,hardware limitations,image resolution,image sensors,low resolution images,color cameras,depth generation,real-time depth generation,filtering theory,jbf,color viewpoints,hybrid multiview camera system,joint bilateral filtering,depth camera basis,image colour analysis,blue-screen studio,filtering,real time systems,decision support systems | Computer vision,Computer graphics (images),Computer science,Filter (signal processing),Color depth,Scenario testing,RGB color model,Frame rate,Artificial intelligence,Depth map,Bilateral filter | Conference |
ISSN | Citations | PageRank |
2309-9402 | 1 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunseok Song | 1 | 11 | 4.07 |
| Dong-Won Shin | 2 | 3 | 3.49 |
| Eunsang Ko | 3 | 2 | 1.05 |
| Yo-Sung Ho | 4 | 1288 | 146.57 |