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학술대회
Efficiently Capturing Object Contours for Non-Photorealistic Rendering
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- 저자
- 박지영, 이준호
- 발행일
- 200706
- 출처
- Scandinavian Conference on Image Analysis (SCIA) 2007 (LNCS 4522), v.4522, pp.442-451
- 초록
- Non-photorealistic rendering (NPR) techniques aim to outline the shape of objects and reduce visual clutter such as shadows and inner texture edges. As the first phase result of our entire research, this work is concerned with a structured light based approach that efficiently detects depth edges in real world scenes. Depth edges directly represent object contours. We exploit distortion of the light pattern in the structured light image along depth discontinuities to reliably detect depth edges. However, in reality, distortion along depth discontinuities may not occur or be large enough to detect depending on the distance from the camera or projector. For practical application of the proposed approach, we have presented a novel method that guarantees the occurrence of the distortion along depth discontinuities for a continuous range of object location. Experimental results show a great promise that the technique can successfully provide object contours to be used for non-photorealistic rendering. © Springer-Verlag Berlin Heidelberg 2007.
- KSP 제안 키워드
- Based Approach, Depth edges, Light pattern, Object location, Real-world, Structured light, Visual clutter, non-photorealistic rendering, novel method, object contours, practical application