Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack
Fast and accurate feature extraction can lay a solid foundation for scene reconstruction and visual odometry. However, this has been rather a difficult problem for the focused plenoptic camera. In this paper, to the best of our knowledge, we first introduce an accurate and fast feature extraction al...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/21/7632 |
| _version_ | 1797549456873226240 |
|---|---|
| author | Qingsong Liu Xiaofang Xie Xuanzhe Zhang Yu Tian Yan Wang Xiaojun Xu |
| author_facet | Qingsong Liu Xiaofang Xie Xuanzhe Zhang Yu Tian Yan Wang Xiaojun Xu |
| author_sort | Qingsong Liu |
| collection | DOAJ |
| description | Fast and accurate feature extraction can lay a solid foundation for scene reconstruction and visual odometry. However, this has been rather a difficult problem for the focused plenoptic camera. In this paper, to the best of our knowledge, we first introduce an accurate and fast feature extraction algorithm based on central projection stereo focal stack (CPSFS). Specifically, we propose a refocusing algorithm that conforms to the central projection with regard to the center of main lens, which is more accurate than traditional one. On this basis, the feature is extracted on the CPSFS without calculating dense depth maps and total focus images. We verify the precision and efficiency of the proposed algorithm through simulated and real experiments, and give an example of scene reconstruction based on the proposed method. The experimental results show that our feature extraction algorithm is able to support the feature-based scene reconstruction via focused plenoptic camera. |
| first_indexed | 2024-03-10T15:15:24Z |
| format | Article |
| id | doaj.art-83b5551643394fabbbda50e656d8f592 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T15:15:24Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-83b5551643394fabbbda50e656d8f5922023-11-20T18:58:57ZengMDPI AGApplied Sciences2076-34172020-10-011021763210.3390/app10217632Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal StackQingsong Liu0Xiaofang Xie1Xuanzhe Zhang2Yu Tian3Yan Wang4Xiaojun Xu5Longshore Defense Troop Academy, Naval Aeronautical University, Yantai 264001, ChinaLongshore Defense Troop Academy, Naval Aeronautical University, Yantai 264001, ChinaState Key Laboratory of Pulsed Power Laser Technology, College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of High Performance Computing (HPCL), College of Computer, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of Pulsed Power Laser Technology, College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, ChinaState Key Laboratory of Pulsed Power Laser Technology, College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, ChinaFast and accurate feature extraction can lay a solid foundation for scene reconstruction and visual odometry. However, this has been rather a difficult problem for the focused plenoptic camera. In this paper, to the best of our knowledge, we first introduce an accurate and fast feature extraction algorithm based on central projection stereo focal stack (CPSFS). Specifically, we propose a refocusing algorithm that conforms to the central projection with regard to the center of main lens, which is more accurate than traditional one. On this basis, the feature is extracted on the CPSFS without calculating dense depth maps and total focus images. We verify the precision and efficiency of the proposed algorithm through simulated and real experiments, and give an example of scene reconstruction based on the proposed method. The experimental results show that our feature extraction algorithm is able to support the feature-based scene reconstruction via focused plenoptic camera.https://www.mdpi.com/2076-3417/10/21/7632focused plenoptic camerafeature detectioncentral projectionrefocused imageCPSFS |
| spellingShingle | Qingsong Liu Xiaofang Xie Xuanzhe Zhang Yu Tian Yan Wang Xiaojun Xu Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack Applied Sciences focused plenoptic camera feature detection central projection refocused image CPSFS |
| title | Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack |
| title_full | Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack |
| title_fullStr | Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack |
| title_full_unstemmed | Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack |
| title_short | Feature Detection of Focused Plenoptic Camera Based on Central Projection Stereo Focal Stack |
| title_sort | feature detection of focused plenoptic camera based on central projection stereo focal stack |
| topic | focused plenoptic camera feature detection central projection refocused image CPSFS |
| url | https://www.mdpi.com/2076-3417/10/21/7632 |
| work_keys_str_mv | AT qingsongliu featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack AT xiaofangxie featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack AT xuanzhezhang featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack AT yutian featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack AT yanwang featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack AT xiaojunxu featuredetectionoffocusedplenopticcamerabasedoncentralprojectionstereofocalstack |