Towards reliable object representation via sparse directional patches and spatial center cues
In the process of image understanding, the human visual system (HVS) performs multiscale analysis on various objects. HVS primarily focuses on marginally conspicuous image patches located within or around distinct objects rather than scanning the image pixels point by point. Inspired by the HVS mech...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2025-01-01
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| Series: | Fundamental Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667325823002194 |
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| author | Muwei Jian Hui Yu |
| author_facet | Muwei Jian Hui Yu |
| author_sort | Muwei Jian |
| collection | DOAJ |
| description | In the process of image understanding, the human visual system (HVS) performs multiscale analysis on various objects. HVS primarily focuses on marginally conspicuous image patches located within or around distinct objects rather than scanning the image pixels point by point. Inspired by the HVS mechanism, in this paper, we aimed to describe and exploit multiscale decomposition-based patch detection models for automatic visual feature representation and object localization in images. Our investigation into mimicking and modeling the HVS to capture conspicuous sparse patches and their spatial distribution clues makes a profound contribution to the automatic comprehension and characterization of images by machines. This study demonstrates that the sparse patch-based visual representation with spatial center cues is intrinsically tolerant to object positioning and understanding beyond object variations in spatial position, multiresolution, and chrominance, which has significant implications for many vision-based automatic object grabbing and perception applications, such as robotics, human‒machine interaction, and unmanned aerial vehicles (UAVs). |
| format | Article |
| id | doaj-art-05107692b98c4c37b55b0d9d45aea944 |
| institution | Kabale University |
| issn | 2667-3258 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Fundamental Research |
| spelling | doaj-art-05107692b98c4c37b55b0d9d45aea9442025-01-29T05:02:32ZengKeAi Communications Co. Ltd.Fundamental Research2667-32582025-01-0151354359Towards reliable object representation via sparse directional patches and spatial center cuesMuwei Jian0Hui Yu1School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China; Corresponding authors.School of Creative Technologies, University of Portsmouth, Portsmouth 200021, UK; Corresponding authors.In the process of image understanding, the human visual system (HVS) performs multiscale analysis on various objects. HVS primarily focuses on marginally conspicuous image patches located within or around distinct objects rather than scanning the image pixels point by point. Inspired by the HVS mechanism, in this paper, we aimed to describe and exploit multiscale decomposition-based patch detection models for automatic visual feature representation and object localization in images. Our investigation into mimicking and modeling the HVS to capture conspicuous sparse patches and their spatial distribution clues makes a profound contribution to the automatic comprehension and characterization of images by machines. This study demonstrates that the sparse patch-based visual representation with spatial center cues is intrinsically tolerant to object positioning and understanding beyond object variations in spatial position, multiresolution, and chrominance, which has significant implications for many vision-based automatic object grabbing and perception applications, such as robotics, human‒machine interaction, and unmanned aerial vehicles (UAVs).http://www.sciencedirect.com/science/article/pii/S2667325823002194Multiscale analysisImage patchesVisual perceptionShearlet transformObject representation |
| spellingShingle | Muwei Jian Hui Yu Towards reliable object representation via sparse directional patches and spatial center cues Fundamental Research Multiscale analysis Image patches Visual perception Shearlet transform Object representation |
| title | Towards reliable object representation via sparse directional patches and spatial center cues |
| title_full | Towards reliable object representation via sparse directional patches and spatial center cues |
| title_fullStr | Towards reliable object representation via sparse directional patches and spatial center cues |
| title_full_unstemmed | Towards reliable object representation via sparse directional patches and spatial center cues |
| title_short | Towards reliable object representation via sparse directional patches and spatial center cues |
| title_sort | towards reliable object representation via sparse directional patches and spatial center cues |
| topic | Multiscale analysis Image patches Visual perception Shearlet transform Object representation |
| url | http://www.sciencedirect.com/science/article/pii/S2667325823002194 |
| work_keys_str_mv | AT muweijian towardsreliableobjectrepresentationviasparsedirectionalpatchesandspatialcentercues AT huiyu towardsreliableobjectrepresentationviasparsedirectionalpatchesandspatialcentercues |