1 / 14

B97902022 簡友琳 B97902023 游舜志 B97902080 陳克威

video-rate dense depth mapping implemented by 2 webcams. B97902022 簡友琳 B97902023 游舜志 B97902080 陳克威. Motivation. Kinect Implemented it by simple devices. Reference. A Stereo Machine for Video-rate Dense Depth Mapping and Its New Applications

bendek
Download Presentation

B97902022 簡友琳 B97902023 游舜志 B97902080 陳克威

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. video-rate dense depth mapping implemented by 2 webcams B97902022 簡友琳B97902023 游舜志B97902080 陳克威

  2. Motivation • Kinect • Implemented it by simple devices

  3. Reference • A Stereo Machine for Video-rate Dense Depth Mapping and Its New Applications - Takeo Kanade, Atsushi Yoshida, Kazuo Oda, Hiroshi Kano and Masaya Tanaka

  4. Goal • Calculating dense depth map in video-rate • Using the DDM to generate a stereo image • Implemented by simple devices (webcam)

  5. Development Environment • openGL (GLUT) • openCV 2.0

  6. Device • 2 webcams (NT$ 369 per camera)

  7. Algorithm • SAD (Sum of Absolute Difference)

  8. Test Image Left Image Right Image

  9. Result

  10. Result (cont.)

  11. Difficulties • Calculation time • Webcam quality

  12. Poor webcam

  13. Applications • Computer vision • 3D model construction • 3D interaction

  14. DEMO

More Related