FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery
Image matching is a fundamental step in several computer vision applications where the requirement is fast, accurate, and robust matching of images in the presence of different transformations. Detection and more importantly description of low-level image features proved to be a more appropriate cho...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2016/3458207 |
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| _version_ | 1832556521816326144 |
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| author | Mehwish Tahir Nadia Kanwal Fatima Anjum |
| author_facet | Mehwish Tahir Nadia Kanwal Fatima Anjum |
| author_sort | Mehwish Tahir |
| collection | DOAJ |
| description | Image matching is a fundamental step in several computer vision applications where the requirement is fast, accurate, and robust matching of images in the presence of different transformations. Detection and more importantly description of low-level image features proved to be a more appropriate choice for this purpose, such as edges, corners, or blobs. Modern descriptors use binary values to store neighbourhood information of feature points for matching because binary descriptors are fast to compute and match. This paper proposes a descriptor called Fast Angular Binary (FAB) descriptor that illustrates the neighbourhood of a corner point using a binary vector. It is different from conventional descriptors because of selecting only the useful neighbourhood of corner point instead of the whole circular area of specific radius. The descriptor uses the angle of corner points to reduce the search space and increase the probability of finding an accurate match using binary descriptor. Experiments show that FAB descriptor’s performance is good, but the calculation and matching time is significantly less than BRIEF, the best known binary descriptor, and AMIE, a descriptor that uses entropy and average intensities of informative part of a corner point for the description. |
| format | Article |
| id | doaj-art-a115e2bf1e964c4d8f8cc6a502fc9544 |
| institution | Kabale University |
| issn | 1687-9600 1687-9619 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-a115e2bf1e964c4d8f8cc6a502fc95442025-02-03T05:45:11ZengWileyJournal of Robotics1687-96001687-96192016-01-01201610.1155/2016/34582073458207FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video ImageryMehwish Tahir0Nadia Kanwal1Fatima Anjum2Department of Computer Science, Lahore College for Women University, Jail Road, Lahore 54000, PakistanDepartment of Computer Science, Lahore College for Women University, Jail Road, Lahore 54000, PakistanDepartment of Computer Science, Lahore College for Women University, Jail Road, Lahore 54000, PakistanImage matching is a fundamental step in several computer vision applications where the requirement is fast, accurate, and robust matching of images in the presence of different transformations. Detection and more importantly description of low-level image features proved to be a more appropriate choice for this purpose, such as edges, corners, or blobs. Modern descriptors use binary values to store neighbourhood information of feature points for matching because binary descriptors are fast to compute and match. This paper proposes a descriptor called Fast Angular Binary (FAB) descriptor that illustrates the neighbourhood of a corner point using a binary vector. It is different from conventional descriptors because of selecting only the useful neighbourhood of corner point instead of the whole circular area of specific radius. The descriptor uses the angle of corner points to reduce the search space and increase the probability of finding an accurate match using binary descriptor. Experiments show that FAB descriptor’s performance is good, but the calculation and matching time is significantly less than BRIEF, the best known binary descriptor, and AMIE, a descriptor that uses entropy and average intensities of informative part of a corner point for the description.http://dx.doi.org/10.1155/2016/3458207 |
| spellingShingle | Mehwish Tahir Nadia Kanwal Fatima Anjum FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery Journal of Robotics |
| title | FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery |
| title_full | FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery |
| title_fullStr | FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery |
| title_full_unstemmed | FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery |
| title_short | FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery |
| title_sort | fab fast angular binary descriptor for matching corner points in video imagery |
| url | http://dx.doi.org/10.1155/2016/3458207 |
| work_keys_str_mv | AT mehwishtahir fabfastangularbinarydescriptorformatchingcornerpointsinvideoimagery AT nadiakanwal fabfastangularbinarydescriptorformatchingcornerpointsinvideoimagery AT fatimaanjum fabfastangularbinarydescriptorformatchingcornerpointsinvideoimagery |