{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:39:03Z","timestamp":1760233143994,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2018YFC1800904","20530290078"],"award-info":[{"award-number":["2018YFC1800904","20530290078"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sci-Tech Innovation\u2014Fundamental Scientific Research Funds","award":["2018YFC1800904","20530290078"],"award-info":[{"award-number":["2018YFC1800904","20530290078"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Most of the traditional image feature point extraction and matching methods are based on a series of light properties of images. These light properties easily conflict with the distinguishability of the image features. The traditional light imaging methods focus only on a fixed depth of the target scene, and subjects at other depths are often easily blurred. This makes the traditional image feature point extraction and matching methods suffer from a low accuracy and a poor robustness. Therefore, in this paper, a light field camera is used as a sensor to acquire image data and to generate a full-focus image with the help of the rich depth information inherent in the original image of the light field. The traditional ORB feature point extraction and matching algorithm is enhanced with the goal of improving the number and accuracy of the feature point extraction for the light field full-focus images. The results show that the improved ORB algorithm extracts not only most of the features in the target scene but also covers the edge part of the image to a greater extent and produces extracted feature points which are evenly distributed for the light field full-focus image. Moreover, the extracted feature points are not repeated in a large number in a certain part of the image, eliminating the aggregation phenomenon that exists in traditional ORB algorithms.<\/jats:p>","DOI":"10.3390\/s23010123","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T03:02:15Z","timestamp":1671764535000},"page":"123","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Light Field Full-Focus Image Feature Point Matching Method with an Improved ORB Algorithm"],"prefix":"10.3390","volume":"23","author":[{"given":"Ying","family":"Zuo","sequence":"first","affiliation":[{"name":"Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"},{"name":"School of Resource and Environment Sciences (SRES), Wuhan University, 129 Luoyu Road, Wuhan 430079, China"},{"name":"Key Lab of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongliang","family":"Guan","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"},{"name":"Key Lab of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"},{"name":"Beijing Imaging Technology Innovation Center, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuzhou","family":"Duan","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"},{"name":"Key Lab of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingsong","family":"Wu","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"},{"name":"Key Lab of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, 105 West Third Ring North Road, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"unstructured":"Harris, C.G., and Stephens, M. 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