14
B97902022 簡簡簡 B97902023 簡簡簡 B97902080 簡簡簡 video-rate dense depth mapping implemented by 2 webcams

Video-rate dense depth mapping implemented by 2 webcams

Embed Size (px)

Citation preview

Page 1: Video-rate dense depth mapping implemented by 2 webcams

B97902022 簡友琳B97902023 游舜志B97902080 陳克威

video-rate dense depth mapping implemented by 2 webcams

Page 2: Video-rate dense depth mapping implemented by 2 webcams

Motivation

Kinect

Implemented it by simple devices

Page 3: Video-rate dense depth mapping implemented by 2 webcams

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

Page 4: Video-rate dense depth mapping implemented by 2 webcams

Goal

Calculating dense depth map in video-rate

Using the DDM to generate a stereo image

Implemented by simple devices (webcam)

Page 5: Video-rate dense depth mapping implemented by 2 webcams

Development Environment

openGL (GLUT) openCV 2.0

Page 6: Video-rate dense depth mapping implemented by 2 webcams

Device

2 webcams (NT$ 369 per

camera)

Page 7: Video-rate dense depth mapping implemented by 2 webcams

Algorithm

SAD (Sum of Absolute Difference)

Page 8: Video-rate dense depth mapping implemented by 2 webcams

Test Image

Left Image Right Image

Page 9: Video-rate dense depth mapping implemented by 2 webcams

Result

Page 10: Video-rate dense depth mapping implemented by 2 webcams

Result (cont.)

Page 11: Video-rate dense depth mapping implemented by 2 webcams

Difficulties

Calculation time

Webcam quality

Page 12: Video-rate dense depth mapping implemented by 2 webcams

Poor webcam

Page 13: Video-rate dense depth mapping implemented by 2 webcams

Applications

Computer vision

3D model construction

3D interaction

Page 14: Video-rate dense depth mapping implemented by 2 webcams

DEMO