1. Structured Light Based Depth Edge Detection for Object Shape Recovery Cheolhwon Kim, Jiyoung Park, Juneho Yi School of Information and Communication Engineering Sungkyunkwan University Matthew Turk Computer Science Department University of California, Santa Barbara

2. Our Approach  Exploit distortion of light pattern in the structured light image along depth discontinuities  Detect candidate locations for depth edges by applying a Gabor filter

3. Problem  Disappearance of distortion along depth edges depending on the distance of an object point from the camera and projector White light imagePatterned image Amplitude map

4. Key Contributions  Analysis and control of the parameters of the structured light –Optimal stripe width with respect to the distance from the camera/projector –Minimum detectable depth difference  Solutions to guarantee the occurrence of the distortion along discontinuities for a continuous range of object location –1 camera & 1 projector –1 camera & 2 projectors

5. Experimental Results Gabor amplitude map Canny edgesWhite light imageDepth edges  Fingerspelling: Letter ‘R’  Gesture: ‘Up’