상세정보
학술대회
Adaptive Estimation of Error Sigma Using Cumulative Density Ratio Test in RANSAC
- 저자
- 이재영
- 발행일
- 201510
- 출처
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2015, pp.498-503
- 협약과제
- 15GC1400, 철도역사 안전관리 지능형 인지시스템 기술 개발 , 이재영
- 초록
- One of the most important issues in RANSAC is to estimate error threshold robustly. In this work, we propose an adaptive method for estimating error distribution in RANSAC using a cumulative density ratio test. In the proposed method, we first compute cumulative histogram of residual errors of data and then estimate error distribution by maximizing a similarity measure between the computed cumulative distribution and the standard normal cumulative distribution. The similarity between two cumulative distributions is measured by a cumulative density ratio test. The experimental result confirms the effectiveness of the proposed method.
- KSP 제안 키워드
- Cumulative distribution, Density ratio, Error threshold, Estimate error, Experimental Result, Residual error, adaptive estimation, adaptive method, cumulative histogram, error distribution, ratio test