Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation
The demand for high-quality 3D models of buildings and urban landscapes has significantly increased in recent years. To meet this demand, researchers have turned to multi-view stereo (MVS) reconstruction methods that utilize low-altitude multi-angle oblique aerial images. However, the MVS approach h...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/114683/ http://psasir.upm.edu.my/id/eprint/114683/1/114683.pdf |
| _version_ | 1848866565189009408 |
|---|---|
| author | Feng, Wenwen Ali, Siti Khadijah Rahmat, Rahmita Wirza O. K. |
| author_facet | Feng, Wenwen Ali, Siti Khadijah Rahmat, Rahmita Wirza O. K. |
| author_sort | Feng, Wenwen |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The demand for high-quality 3D models of buildings and urban landscapes has significantly increased in recent years. To meet this demand, researchers have turned to multi-view stereo (MVS) reconstruction methods that utilize low-altitude multi-angle oblique aerial images. However, the MVS approach has limitations, such as matching failures or errors resulting from the absence of texture on building surfaces and low efficiency in generating point clouds using high-resolution aerial photos. To address these challenges, an accelerated point-cloud generation method based on PatchMatch (Ac-PMVS) was developed. This method enhances the image-based MVS 3D reconstruction of urban buildings by improving the similarity matching method between pixel blocks, adopting a sparse matching strategy, and generating depth maps at intervals. The resulting 3D models are of high quality and can be generated rapidly, as demonstrated by tests using multi-angle aerial image sets captured by UAVs. In summary, the proposed method shows potential for meeting the increasing demand for high-quality 3D models of buildings and urban landscapes. |
| first_indexed | 2025-11-15T14:22:37Z |
| format | Article |
| id | upm-114683 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:22:37Z |
| publishDate | 2024 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1146832025-01-23T03:51:21Z http://psasir.upm.edu.my/id/eprint/114683/ Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation Feng, Wenwen Ali, Siti Khadijah Rahmat, Rahmita Wirza O. K. The demand for high-quality 3D models of buildings and urban landscapes has significantly increased in recent years. To meet this demand, researchers have turned to multi-view stereo (MVS) reconstruction methods that utilize low-altitude multi-angle oblique aerial images. However, the MVS approach has limitations, such as matching failures or errors resulting from the absence of texture on building surfaces and low efficiency in generating point clouds using high-resolution aerial photos. To address these challenges, an accelerated point-cloud generation method based on PatchMatch (Ac-PMVS) was developed. This method enhances the image-based MVS 3D reconstruction of urban buildings by improving the similarity matching method between pixel blocks, adopting a sparse matching strategy, and generating depth maps at intervals. The resulting 3D models are of high quality and can be generated rapidly, as demonstrated by tests using multi-angle aerial image sets captured by UAVs. In summary, the proposed method shows potential for meeting the increasing demand for high-quality 3D models of buildings and urban landscapes. Institute of Electrical and Electronics Engineers 2024-09-16 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114683/1/114683.pdf Feng, Wenwen and Ali, Siti Khadijah and Rahmat, Rahmita Wirza O. K. (2024) Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation. IEEE Access, 12. pp. 144588-144598. ISSN 2169-3536 https://ieeexplore.ieee.org/document/10680531/ 10.1109/ACCESS.2024.3460748 |
| spellingShingle | Feng, Wenwen Ali, Siti Khadijah Rahmat, Rahmita Wirza O. K. Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title | Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title_full | Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title_fullStr | Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title_full_unstemmed | Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title_short | Efficient 3D reconstruction through enhanced PatchMatch techniques for accelerated point cloud generation |
| title_sort | efficient 3d reconstruction through enhanced patchmatch techniques for accelerated point cloud generation |
| url | http://psasir.upm.edu.my/id/eprint/114683/ http://psasir.upm.edu.my/id/eprint/114683/ http://psasir.upm.edu.my/id/eprint/114683/ http://psasir.upm.edu.my/id/eprint/114683/1/114683.pdf |