Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm
With the continuous advancement of industrialization and intelligentization, stereo-vision-based measurement technology for large-scale components has become a prominent research focus. To address weak-textured regions in large-scale component images and reduce mismatches in stereo matching, we prop...
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/11/5837 |
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| author | Nan Chen Dongri Shan Peng Zhang |
| author_facet | Nan Chen Dongri Shan Peng Zhang |
| author_sort | Nan Chen |
| collection | DOAJ |
| description | With the continuous advancement of industrialization and intelligentization, stereo-vision-based measurement technology for large-scale components has become a prominent research focus. To address weak-textured regions in large-scale component images and reduce mismatches in stereo matching, we propose a cross-scale multi-feature stereo matching algorithm. In the cost-computation stage, the sum of absolute differences (SAD), census, and modified census cost aggregation are employed as cost-calculation methods. During the cost-aggregation phase, cross-scale theory is introduced to fuse multi-scale cost volumes using distinct aggregation parameters through a cross-scale framework. Experimental results on both benchmark and real-world datasets demonstrate that the enhanced algorithm achieves an average mismatch rate of 12.25%, exhibiting superior robustness compared to conventional census transform and semi-global matching (SGM) algorithms. |
| format | Article |
| id | doaj-art-b0003ced987441e5aa5f40ddd9493b01 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b0003ced987441e5aa5f40ddd9493b012025-08-20T03:10:54ZengMDPI AGApplied Sciences2076-34172025-05-011511583710.3390/app15115837Improvement of the Cross-Scale Multi-Feature Stereo Matching AlgorithmNan Chen0Dongri Shan1Peng Zhang2School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250300, ChinaSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250300, ChinaSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250300, ChinaWith the continuous advancement of industrialization and intelligentization, stereo-vision-based measurement technology for large-scale components has become a prominent research focus. To address weak-textured regions in large-scale component images and reduce mismatches in stereo matching, we propose a cross-scale multi-feature stereo matching algorithm. In the cost-computation stage, the sum of absolute differences (SAD), census, and modified census cost aggregation are employed as cost-calculation methods. During the cost-aggregation phase, cross-scale theory is introduced to fuse multi-scale cost volumes using distinct aggregation parameters through a cross-scale framework. Experimental results on both benchmark and real-world datasets demonstrate that the enhanced algorithm achieves an average mismatch rate of 12.25%, exhibiting superior robustness compared to conventional census transform and semi-global matching (SGM) algorithms.https://www.mdpi.com/2076-3417/15/11/5837stereo matchingcross-scale cost fusionmachine vision |
| spellingShingle | Nan Chen Dongri Shan Peng Zhang Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm Applied Sciences stereo matching cross-scale cost fusion machine vision |
| title | Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm |
| title_full | Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm |
| title_fullStr | Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm |
| title_full_unstemmed | Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm |
| title_short | Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm |
| title_sort | improvement of the cross scale multi feature stereo matching algorithm |
| topic | stereo matching cross-scale cost fusion machine vision |
| url | https://www.mdpi.com/2076-3417/15/11/5837 |
| work_keys_str_mv | AT nanchen improvementofthecrossscalemultifeaturestereomatchingalgorithm AT dongrishan improvementofthecrossscalemultifeaturestereomatchingalgorithm AT pengzhang improvementofthecrossscalemultifeaturestereomatchingalgorithm |