b97902022 簡友琳 b97902023 游舜志 b97902080 陳克威

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

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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 - PowerPoint PPT Presentation

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B97902022 簡友琳B97902023 游舜志B97902080 陳克威

video-rate dense depth mapping implemented by 2 webcams

Motivation

Kinect

Implemented it by simple devices

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

Goal

Calculating dense depth map in video-rate

Using the DDM to generate a stereo image

Implemented by simple devices (webcam)

Development Environment

openGL (GLUT) openCV 2.0

Device

2 webcams (NT$ 369 per

camera)

Algorithm

SAD (Sum of Absolute Difference)

Test Image

Left Image Right Image

Result

Result (cont.)

Difficulties

Calculation time

Webcam quality

Poor webcam

Applications

Computer vision

3D model construction

3D interaction

DEMO