3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection
Authors: Yuchong Chen, Jian Yu, Shaoyan Gai, Zeyu Cai, Feipeng Da
AAAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Comparison experiments indicate that this method can reduce Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) by 65.74% and 67.75%, respectively. Compared to existing methods, it improves performance by 27.29% and 33.74%, respectively, demonstrating superior performance. ... To futher validate the effectiveness of the proposed method in practical measurement, an FPP-based 3D measurement system is established. ... A total of two comparison experiments are designed. The first experiment measures flat objects. The second experiment measures curved objects. |
| Researcher Affiliation | Academia | School of Automation, Southeast University Mo E Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University EMAIL |
| Pseudocode | No | The paper includes a flowchart in Figure 6 titled 'The flowchart of ELPC-RPF', but it does not present a clearly labeled 'Pseudocode' or 'Algorithm' section with structured, code-like steps. |
| Open Source Code | No | The paper does not contain any explicit statements about releasing source code, nor does it provide a link to a code repository. |
| Open Datasets | No | The paper evaluates its method on physical objects such as 'a calibration plate', 'a card holder', 'a postcard', 'a standard sphere', 'a vase', and 'a paper cylinder'. These are not described as publicly available datasets, nor are any links, DOIs, or citations to public datasets provided. |
| Dataset Splits | No | The paper focuses on physical measurements of objects rather than using pre-existing datasets with defined training/testing/validation splits. Therefore, information regarding dataset splits is not applicable in the conventional sense for this research. |
| Hardware Specification | Yes | The system consists of a computer, a projector (DLP Light Crafter 4500; Texas Instruments, Inc., USA), and a camera (ac A800-510um; Basler Vision Technology, Inc., Germany). The resolution of the projector is 912 1140 pixels, and its maximum projection rate is 120 Hz at 8-bit mode. The resolution of the camera is 800 600 pixels, and its maximum frame rate is 393 fps at normal sensor readout mode. |
| Software Dependencies | No | The paper mentions calibration methods like 'Zhang s method (Zhang 1999) based on four-step phase-shifting method with CGC method (Zhang et al. 2012)' but does not provide specific software names with version numbers for implementation or analysis. |
| Experiment Setup | Yes | The system is 0.7 to 1 meters away from the object to be measured, the angle between the optical axis of the projector and that of the camera is approximately 45 . The resolution of the projector is 912 1140 pixels, and its maximum projection rate is 120 Hz at 8-bit mode. The resolution of the camera is 800 600 pixels, and its maximum frame rate is 393 fps at normal sensor readout mode. |