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Tolerance analysis of model-based camera tracking by modeling errors
- Rhee, Eun Joo;
- Park, Jungsik;
- Seo, Byung-Kuk;
- Jong, Park
Citations
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0초록
Accuracy of 3-D models is important in model-based camera tracking. However, their precise modeling requires delicate procedures. On the other hand, end-users are difficult to perceive tracking errors, which are caused by a certain level of modeling errors. Therefore, human perceptual errors can be different from real tracking errors. In this paper, we analyze the tolerance of modeling errors by comparing computational matching errors of model-based camera tracking with its human perceptual matching errors through user evaluations. We also discuss permissible ranges of modeling errors for reliable tracking without precise modeling.
키워드
3-D modeling; based camera tracking; error analysis; model; Tolerance analysis; 3-d modeling; Camera tracking; Model-based camera tracking; Perceptual errors; Perceptual matching; Precise modeling; Tolerance analysis; User evaluations; Cameras; Error analysis; Fits and tolerances; Models; Tracking (position); Three dimensional
- 제목
- Tolerance analysis of model-based camera tracking by modeling errors
- 저자
- Rhee, Eun Joo; Park, Jungsik; Seo, Byung-Kuk; Jong, Park
- 발행일
- 2013-02
- 유형
- Conference Paper
- 저널명
- FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
- 페이지
- 305 ~ 308