Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling
This article proposes the methods to enhance the depth value approximation in 3D Image Based Modelling for complex object. Fundamentally, the fast and accurate depth value approximation is crucial as the 3D modelling used in virtual and augmented reality applications, reverse engineering, and the ar...
| Main Authors: | , , |
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| Format: | Article |
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UiTM Press
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107692/ |
| _version_ | 1848864965043159040 |
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| author | O.K Rahma, Rahmita Wirza Seng Beng, Ng Ramli, Intan Syaherra |
| author_facet | O.K Rahma, Rahmita Wirza Seng Beng, Ng Ramli, Intan Syaherra |
| author_sort | O.K Rahma, Rahmita Wirza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This article proposes the methods to enhance the depth value approximation in 3D Image Based Modelling for complex object. Fundamentally, the fast and accurate depth value approximation is crucial as the 3D modelling used in virtual and augmented reality applications, reverse engineering, and the architecture. Therefore, the enhanced method must be robust against the challenges with noise, complexity, distortion and longer processing time. In this experiment, five small and complex objects were captured using a turntable, laptop, and a webcam. The feature points between images were tracked and matched using good features to tracks and Pyramidal Lucas Kanade's optical flow. Next, the depth value was approximated using trigonometry equation. To enhance the accuracy, the noise filtering, and Inverse Perspective Mapping (IPM) were introduced. The results show that the average error based on the approximated width and depth dimensions was 3.27 and 6.88 compared with the actual object. Furthermore, the processing speed was 1519 points per second. Therefore, this method enhanced the depth value approximation, which can be used to build the full texture 3D model in future. |
| first_indexed | 2025-11-15T13:57:11Z |
| format | Article |
| id | upm-107692 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:57:11Z |
| publishDate | 2023 |
| publisher | UiTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1076922024-10-28T01:07:51Z http://psasir.upm.edu.my/id/eprint/107692/ Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling O.K Rahma, Rahmita Wirza Seng Beng, Ng Ramli, Intan Syaherra This article proposes the methods to enhance the depth value approximation in 3D Image Based Modelling for complex object. Fundamentally, the fast and accurate depth value approximation is crucial as the 3D modelling used in virtual and augmented reality applications, reverse engineering, and the architecture. Therefore, the enhanced method must be robust against the challenges with noise, complexity, distortion and longer processing time. In this experiment, five small and complex objects were captured using a turntable, laptop, and a webcam. The feature points between images were tracked and matched using good features to tracks and Pyramidal Lucas Kanade's optical flow. Next, the depth value was approximated using trigonometry equation. To enhance the accuracy, the noise filtering, and Inverse Perspective Mapping (IPM) were introduced. The results show that the average error based on the approximated width and depth dimensions was 3.27 and 6.88 compared with the actual object. Furthermore, the processing speed was 1519 points per second. Therefore, this method enhanced the depth value approximation, which can be used to build the full texture 3D model in future. UiTM Press 2023-09-15 Article PeerReviewed O.K Rahma, Rahmita Wirza and Seng Beng, Ng and Ramli, Intan Syaherra (2023) Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling. Journal of Computing Research and Innovation, 8 (2). pp. 246-264. ISSN 2600-8793; eISSN: 2600-8793 https://jcrinn.com 10.24191/jcrinn.v8i2.356 |
| spellingShingle | O.K Rahma, Rahmita Wirza Seng Beng, Ng Ramli, Intan Syaherra Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title | Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title_full | Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title_fullStr | Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title_full_unstemmed | Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title_short | Enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| title_sort | enhancement of depth value approximation using noise filtering and inverse perspective mapping techniques for image based modelling |
| url | http://psasir.upm.edu.my/id/eprint/107692/ http://psasir.upm.edu.my/id/eprint/107692/ http://psasir.upm.edu.my/id/eprint/107692/ |