The Research of Depth Discontinuity Detection Using Adaptive DIP

• 영문명: The Research of Depth Discontinuity Detection Using Adaptive DIP
• 발행기관: 인문사회과학기술융합학회
• 저자명: Gil-Ja So,Sang-Hyun Kim
• 간행물 정보: 『예술인문사회융합멀티미디어논문지』5권 3호, 37~46쪽, 전체 10쪽
• 주제분류: 사회과학 > 사회과학일반
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

Depth discontinuities are the layers of the world and is used to track object, image retrieval, evaluation of the 3D visual fatigue. To extract depth discontinuities from disparity map, we adopt DIP operator that is the difference of inverse probabilities for extracting sketch features that contain valleys and edges in 2D image. However, DIP needs a threshold to determine depth discontinuities and this is threshold needs user interaction. In this paper, we propose the method that extracts depth discontinuities without user interaction using learned threshold. We learned the threshold with the Middlebury disparity maps and made the evaluation to decide the threshold.

목차

1. Introduction

2. Related Works

3. Proposed Method

4. Experiment

5. Conclusion

References

키워드

depth dicsontinuities,adaptive DIP,learned threshold,extracting edges,disparity map