Yueyang Ma
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Yueyang Ma has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
Feifei Gu
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Guangdong, China, Shen zhen, CHINA
3 shared publications- Hong Zhao
School of Instrument Science and Technology, Xian Jiaotong University, Xian, Shaanxi, China
2 shared publications Kejia Li
Xi'an Jiaotong University Xi'an, CN, xi'an, CHINA
2 shared publications- Ailing Tian
Shaanxi Province Key Laboratory of Thin Films Technology and Optical Test, Xi’an 710021, China
1 shared publication - Bingcai Liu
Xi’an Technological University, Shaanxi Province Key Laboratory of Thin Films Technology and Optical Test, Xi’an, China
1 shared publication - Bo Tang
Xi’an Technological University
1 shared publication
Latest Publications
- Open Access
Synergistic Suppression of Global Illumination and Fringe Saturation via Adaptive Micro Phase Shifting
High-fidelity 3D profilometry of non-Lambertian surfaces is severely degraded by the co-occurrence of specular saturation (clipping harmonics) and global illumination (GI). Although Micro Phase Shifting (MPS) isolates low-frequency GI via narrowband projection, non-sinusoidal saturation clipping invalidates its fundamental inter-frequency amplitude consistency constraint, causing phase unwrapping collapse. To resolve this coupled dilemma without exceeding the theoretical minimum image count ( frames), this paper proposes a physics-guided adaptive spectral decoupling framework. We demonstrate that the inherent narrowband spatial carrier of MPS establishes an analytical passband, enabling selective harmonic elimination while strictly preserving GI resilience. An adaptive Butterworth low-pass filter integrated with boundary-symmetric mirror extension is formulated, where the optimal cutoff radius is dynamically locked via a spatial correlation convergence criterion. This restores fundamental sinusoidal fidelity, reinstates MPS matrix amplitude consistency, and eliminates Gibbs boundary ringing. Simulations and physical experiments on specular metallic specimens show that our method achieves up to an 87.5% reduction in Root Mean Square Error (RMSE) and a 60.9% reduction in Mean Absolute Error (MAE) over standard MPS, while outperforming multi-exposure fusion benchmarks using 74.1% fewer images. Crucially, high metrological precision is achieved without compromising sharp geometric step edges.Open AccessSynergistic Suppression of Global Illumination and Fringe Saturation via Adaptive Micro Phase Shifting
High-fidelity 3D profilometry of non-Lambertian surfaces is severely degraded by the co-occurrence of specular saturation (clipping harmonics) and global illumination (GI). Although Micro Phase Shifting (MPS) isolates low-frequency GI via narrowband projection, non-sinusoidal saturation clipping invalidates its fundamental inter-frequency amplitude consistency constraint, causing phase unwrapping collapse. To resolve this coupled dilemma without exceeding the theoretical minimum image count ( frames), this paper proposes a physics-guided adaptive spectral decoupling framework. We demonstrate that the inherent narrowband spatial carrier of MPS establishes an analytical passband, enabling selective harmonic elimination while strictly preserving GI resilience. An adaptive Butterworth low-pass filter integrated with boundary-symmetric mirror extension is formulated, where the optimal cutoff radius is dynamically locked via a spatial correlation convergence criterion. This restores fundamental sinusoidal fidelity, reinstates MPS matrix amplitude consistency, and eliminates Gibbs boundary ringing. Simulations and physical experiments on specular metallic specimens show that our method achieves up to an 87.5% reduction in Root Mean Square Error (RMSE) and a 60.9% reduction in Mean Absolute Error (MAE) over standard MPS, while outperforming multi-exposure fusion benchmarks using 74.1% fewer images. Crucially, high metrological precision is achieved without compromising sharp geometric step edges. - Open Access
- 23 November 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (23) , 11934
Omni-Directional Semi-Global Stereo Matching with Reliable Information Propagation
High efficiency and accuracy of semi-global matching (SGM) make it widely used in many stereo vision applications. However, SGM not only struggles in dealing with pixels in homogeneous area, but also suffers from streak artifacts. In this paper, we propose a novel omni-directional SGM (OmniSGM) with a cost volume update scheme to aggregate costs from paths along all directions and to encourage reliable information to propagate across entire image. Specifically, we perform SGM along four tree structures, namely trees in the left, right, top and bottom of root node, and then fuse the outputs to obtain final result. The contributions of pixels on each tree can be recursively computed from leaf nodes to root node, ensuring our method has linear time computational complexity. Moreover, An iterative cost volume update scheme is proposed using aggregated cost in the last pass to enhance the robustness of initial matching cost. Thus, useful information is more likely to propagate in a long distance to handle the ambiguities in low textural area. Finally, we present an efficient strategy to propagate disparities of stable pixels along the minimum spanning tree (MST) for disparity refinement. Extensive experiments in stereo matching on Middlebury and KITTI datasets demonstrate that our method outperforms typical traditional SGM-based cost aggregation methods.
- 23 November 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (23) , 11934
Open AccessOmni-Directional Semi-Global Stereo Matching with Reliable Information Propagation
High efficiency and accuracy of semi-global matching (SGM) make it widely used in many stereo vision applications. However, SGM not only struggles in dealing with pixels in homogeneous area, but also suffers from streak artifacts. In this paper, we propose a novel omni-directional SGM (OmniSGM) with a cost volume update scheme to aggregate costs from paths along all directions and to encourage reliable information to propagate across entire image. Specifically, we perform SGM along four tree structures, namely trees in the left, right, top and bottom of root node, and then fuse the outputs to obtain final result. The contributions of pixels on each tree can be recursively computed from leaf nodes to root node, ensuring our method has linear time computational complexity. Moreover, An iterative cost volume update scheme is proposed using aggregated cost in the last pass to enhance the robustness of initial matching cost. Thus, useful information is more likely to propagate in a long distance to handle the ambiguities in low textural area. Finally, we present an efficient strategy to propagate disparities of stable pixels along the minimum spanning tree (MST) for disparity refinement. Extensive experiments in stereo matching on Middlebury and KITTI datasets demonstrate that our method outperforms typical traditional SGM-based cost aggregation methods.
- 13 May 2019
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 30 (6) , 065013
Handheld target probe tip center position calibration for target-based vision measurement system
- 13 May 2019
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 30 (6) , 065013
Handheld target probe tip center position calibration for target-based vision measurement system
- 19 September 2017
- Published by SPIE-Intl Soc Optical Eng
- p. 118
The error analysis of the handheld target in Target-based Vision Measurement System (T-VMS)
- 19 September 2017
- Published by SPIE-Intl Soc Optical Eng
- p. 118
The error analysis of the handheld target in Target-based Vision Measurement System (T-VMS)
- 20 February 2017
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 28 (4) , 045012
Center extraction deviation correction of SMD-LEDs in the target-based vision measurement system
Surface mounted device-type light emitting diodes (SMD-LEDs) are commonly utilized as feature points in target-based vision measurement systems (T-VMSs) due to their high luminance. The non-uniform characteristics of said luminance introduce deviation errors in image center extraction, however, which degrades the positioning precision of the T-VMS. In this study, we first analyzed two factors responsible for deviation errors: The deflection angle between the LED's normal direction and the observation direction, and the distance between the LED and the observer. We then established a correction method based on a lookup table to compensate for deviation errors according to these two factors. We also analyzed the correction direction of the deviation error. We applied the proposed method in an actual T-VMS to confirm its feasibility and effectiveness, and found that it does indeed correct deviation errors effectively.
- 20 February 2017
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 28 (4) , 045012
Center extraction deviation correction of SMD-LEDs in the target-based vision measurement system
Surface mounted device-type light emitting diodes (SMD-LEDs) are commonly utilized as feature points in target-based vision measurement systems (T-VMSs) due to their high luminance. The non-uniform characteristics of said luminance introduce deviation errors in image center extraction, however, which degrades the positioning precision of the T-VMS. In this study, we first analyzed two factors responsible for deviation errors: The deflection angle between the LED's normal direction and the observation direction, and the distance between the LED and the observer. We then established a correction method based on a lookup table to compensate for deviation errors according to these two factors. We also analyzed the correction direction of the deviation error. We applied the proposed method in an actual T-VMS to confirm its feasibility and effectiveness, and found that it does indeed correct deviation errors effectively.