{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T18:13:20Z","timestamp":1758824000507,"version":"3.37.3"},"reference-count":26,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2015,11,1]],"date-time":"2015-11-01T00:00:00Z","timestamp":1446336000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61231018","2013AA014601"],"award-info":[{"award-number":["61231018","2013AA014601"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program of China","award":["61231018","2013AA014601"],"award-info":[{"award-number":["61231018","2013AA014601"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2015,11,1]]},"abstract":"<jats:p> Although several algorithms have been presented to solve the simultaneous pose and correspondence estimation problem, the correct solution may not be reached to with the traditional random-start initialization method. In this paper, we derive a novel method which estimates the initial value based on genetic algorithm, considering the influences of different initial guesses comprehensively. First, a set of random initial guesses is generated as candidate solutions. Second, the assignment matrix and the perspective projection error are computed for each candidate solution. And then each individual is modified (selection, crossover, and mutation) in current iterative process. Finally, the fittest individual is stochastically selected from the final population. With the presented initialization method, the proper initial guess could be first calculated and then the simultaneous pose and correspondence estimation problem could be solved easily. Simulation results with synthetic data and experiments on real images prove the effectiveness and robustness of our proposed method. <\/jats:p>","DOI":"10.1155\/2015\/828241","type":"journal-article","created":{"date-parts":[[2015,11,1]],"date-time":"2015-11-01T21:02:09Z","timestamp":1446411729000},"page":"828241","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Simultaneous Pose and Correspondence Estimation Based on Genetic Algorithm"],"prefix":"10.1177","volume":"11","author":[{"given":"Haiwei","family":"Yang","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi 710049, China"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi 710049, China"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an, Shaanxi, China"}]},{"given":"Hang","family":"Dong","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi 710049, China"}]}],"member":"179","published-online":{"date-parts":[[2015,11,1]]},"reference":[{"key":"B1-2015-828241","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1195992"},{"volume-title":"Proceedings of the International Conference on Computer Vision","author":"Hesch J. 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