Low-complexity pruning for accelerating corner detection
In this paper, we present a novel and computationally efficient pruning technique to speed up the Shi-Tomasi and Harris corner detectors. The proposed technique quickly prunes non-corners and selects a small corner candidate set by approximating the complex corner measure of Shi-Tomasi and Harris. T...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/102865 http://hdl.handle.net/10220/16922 |
| _version_ | 1826112252476915712 |
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| author | Srikanthan, Thambipillai Wu, Meiqing Ramakrishnan, Nirmala Lam, Siew-Kei |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Srikanthan, Thambipillai Wu, Meiqing Ramakrishnan, Nirmala Lam, Siew-Kei |
| author_sort | Srikanthan, Thambipillai |
| collection | NTU |
| description | In this paper, we present a novel and computationally efficient pruning technique to speed up the Shi-Tomasi and Harris corner detectors. The proposed technique quickly prunes non-corners and selects a small corner candidate set by approximating the complex corner measure of Shi-Tomasi and Harris. The actual corner measure is then applied only to the reduced candidate set. Experimental results on the NiOS-II platform show that the proposed technique achieves an average execution time savings of 90% for Shi-Tomasi and 70% for Harris detectors for 500 corners with no loss in accuracy. |
| first_indexed | 2024-10-01T03:03:56Z |
| format | Conference Paper |
| id | ntu-10356/102865 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:03:56Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1028652020-05-28T07:18:07Z Low-complexity pruning for accelerating corner detection Srikanthan, Thambipillai Wu, Meiqing Ramakrishnan, Nirmala Lam, Siew-Kei School of Computer Engineering IEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea) Centre for High Performance Embedded Systems DRNTU::Engineering::Computer science and engineering In this paper, we present a novel and computationally efficient pruning technique to speed up the Shi-Tomasi and Harris corner detectors. The proposed technique quickly prunes non-corners and selects a small corner candidate set by approximating the complex corner measure of Shi-Tomasi and Harris. The actual corner measure is then applied only to the reduced candidate set. Experimental results on the NiOS-II platform show that the proposed technique achieves an average execution time savings of 90% for Shi-Tomasi and 70% for Harris detectors for 500 corners with no loss in accuracy. 2013-10-25T07:27:18Z 2019-12-06T21:01:18Z 2013-10-25T07:27:18Z 2019-12-06T21:01:18Z 2012 2012 Conference Paper Wu, M., Ramakrishnan, N., Lam, S.- K., & Srikanthan, T. (2012). Low-complexity pruning for accelerating corner detection. 2012 IEEE International Symposium on Circuits and Systems, pp1684-1687. https://hdl.handle.net/10356/102865 http://hdl.handle.net/10220/16922 10.1109/ISCAS.2012.6271582 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Srikanthan, Thambipillai Wu, Meiqing Ramakrishnan, Nirmala Lam, Siew-Kei Low-complexity pruning for accelerating corner detection |
| title | Low-complexity pruning for accelerating corner detection |
| title_full | Low-complexity pruning for accelerating corner detection |
| title_fullStr | Low-complexity pruning for accelerating corner detection |
| title_full_unstemmed | Low-complexity pruning for accelerating corner detection |
| title_short | Low-complexity pruning for accelerating corner detection |
| title_sort | low complexity pruning for accelerating corner detection |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/102865 http://hdl.handle.net/10220/16922 |
| work_keys_str_mv | AT srikanthanthambipillai lowcomplexitypruningforacceleratingcornerdetection AT wumeiqing lowcomplexitypruningforacceleratingcornerdetection AT ramakrishnannirmala lowcomplexitypruningforacceleratingcornerdetection AT lamsiewkei lowcomplexitypruningforacceleratingcornerdetection |