Match Quality Estimation For Feature-Based Scene Matching
Autor: | H. F. Williams, J. F. Belsher |
---|---|
Rok vydání: | 1980 |
Předmět: |
Measure (data warehouse)
Computer science business.industry Computation Feature extraction Analytical technique Image processing Pattern recognition computer.software_genre Feature (computer vision) A priori and a posteriori Data mining Artificial intelligence business computer Reliability (statistics) |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
DOI: | 10.1117/12.959149 |
Popis: | Scene matching is a valuable and easily implemented procedure for navigation update determination. However, for scene matchers a measure of match confidence is required to judge either match acceptability or reference suitability. No confidence measure has previously been available for feature based matchers. An analytical technique is presented that utilizes feature statistics and measurements of the match surface or predicted match surface to estimate match quality as a confidence measure. The technique has been used both for a priori reference selection and for a posteriori measurement of match confidence. Feature statistics have been obtained by combining analysis with empirical results. This reliability prediction technique has been validated over a large number of test matches. Approximation techniques exist which reduce the required computations to a trivial amount.© (1980) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
Databáze: | OpenAIRE |
Externí odkaz: |