Abstract
By using the head-mounted display (HMD), we can have an immersive virtual reality experience. But the user cannot see any information from the real world. To solve the problem, video seethrough HMD can acquire images from real environment, and present into the HMD, then, we could build a mixed reality (MR) or augmented reality (AR) system. However, how to append and calibrate cameras on HMD for recovering real environment is still a research issue. HTC VIVE has a single camera in front of its device. [Steptoe et al. 2014] and OVRVISION Pro proposed to append dual cameras to capture left and right images. Due to the difference of viewpoint, images captured by cameras are different to what human eyes see (figure 2). Although we could recover true 3D information with a depth map, there are still some occlusion areas that we cannot recover by single camera. Therefore, multiple cameras with different positions could complement each other for reducing occlusion areas. In this work, four configurations are simulated with a synthesized scene.
| Original language | English |
|---|---|
| Title of host publication | SIGGRAPH 2016 - ACM SIGGRAPH 2016 Posters |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450343718 |
| DOIs | |
| State | Published - 24 Jul 2016 |
| Event | ACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016 - Anaheim, United States Duration: 24 Jul 2016 → 28 Jul 2016 |
Publication series
| Name | SIGGRAPH 2016 - ACM SIGGRAPH 2016 Posters |
|---|
Conference
| Conference | ACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016 |
|---|---|
| Country/Territory | United States |
| City | Anaheim |
| Period | 24/07/16 → 28/07/16 |
Bibliographical note
Funding Information:This work was supported in part by the Ministry of Science and Technology, National Taiwan University, and Intel Corporation under Grants MOST 105-2633-E-002-001 and NTU-105R104045, and by the Ministry of Science and Technology under Grants MOST 104-2627-E-002-001.
Keywords
- Depth image-based rendering (DIBR)
- Video see-through
- View interpolation
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