Image unprojection for 3D surface reconstruction: A triangulation-based approach

Sung, Minhyuk; Lim, Hwasup; Kim, Hyoung-Gon; Ahn, Sang Chul

doi:10.1109/icip.2013.6738034

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…With the correspondences, 3-D information can be retrieved via the triangulation principle. 5,6 For the SLS, calibration of system parameters is usually the first and crucial step because the calibration result determines final 3-D measurement precision directly. [7][8][9] To perform the triangulation, we need to know the intrinsic parameters of both projector and camera, as well as the extrinsic parameters between them.…”

Section: Introductionmentioning

confidence: 99%

Method for calibration accuracy improvement of projector-camera-based structured light system

Song

2017

Opt. Eng

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, "Method for calibration accuracy improvement of projector-camera-based structured light system," Opt. Eng. 56(7), 074101 (2017), doi: 10.1117/1.OE.56.7.074101. Abstract. Calibration is a critical step for the projector-camera-based structured light system (SLS).Conventional SLS calibration means usually use the calibrated camera to calibrate the projector device, and the optimization of calibration parameters is applied to minimize the two-dimensional (2-D) reprojection errors. A three-dimensional (3-D)-based method is proposed for the optimization of SLS calibration parameters. The system is first calibrated with traditional calibration methods to obtain the primary calibration parameters. Then, a reference plane with some precisely printed markers is used for the optimization of primary calibration results. Three metric error criteria are introduced to evaluate the 3-D reconstruction accuracy of the reference plane. By treating all the system parameters as a global optimization problem and using the primary calibration parameters as initial values, a nonlinear multiobjective optimization problem can be established and solved. Compared with conventional calibration methods that adopt the 2-D reprojection errors for the camera and projector separately, a global optimal calibration result can be obtained by the proposed calibration procedure. Experimental results showed that, with the optimized calibration parameters, measurement accuracy and 3-D reconstruction quality of the system can be greatly improved.

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Section: Introductionmentioning

confidence: 99%

Method for calibration accuracy improvement of projector-camera-based structured light system

Song

2017

Opt. Eng

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Alignment of 3-D scanning data for polygonal mesh based on modified triangulation

Fahim

Mostafa

Tasnim

et al. 2017

2017 6th International Conference on Informatics, Electronics and Vision &Amp; 2017 7th International Symposium in Computationa

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Review of Three-Dimensional Model Simplification Algorithms Based on Quadric Error Metrics and Bibliometric Analysis by Knowledge Map

Chang,

Dong,

Zhang

et al. 2023

Mathematics

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With the rapid advancement of computer graphics and three-dimensional modeling technology, the processing and optimization of three-dimensional (3D) models have become contentious research topics. In the context of mobile devices or web applications, situations may arise where it becomes necessary to load a 3D model with a substantial memory footprint in real-time or dynamically adjust the level of detail of a model based on the scene’s proximity. In such cases, it is imperative to optimize the original model to ensure smoothness and responsiveness. Due to the simplicity of their algorithm, quadric error metrics (QEMs) can deliver excellent results in simplifying 3D models while maintaining high efficiency. Therefore, QEM is widely employed in engineering applications within the realm of computer graphics development. Moreover, in the pursuit of enhanced quality and efficiency, numerous scholars have improved it based on QEM algorithms. This study aims to provide a systematic review and summary of the principles and applications of current research on QEM algorithms. First, we conducted a bibliometric analysis of 128 studies in related fields spanning from 1998 to 2022 using CiteSpace. This allowed us to sort QEM algorithms and gain insights into their development status and emerging trends. Second, we delve into the fundamental principles and optimizations of the QEM algorithms to provide a deeper understanding of their implementation process. Following that, we explore the advantages and limitations of the QEM algorithms in practical applications and analyze their potential in various domains, including virtual reality and game development. Finally, this study outlines future research directions, which encompass the development of more efficient error metric calculation methods, the exploration of adaptive simplification strategies, and the investigation of potential synergies with deep learning technologies. Current research primarily centers on enhancing QEM algorithms by incorporating additional geometric constraints to better differentiate between flat and irregular areas. This enables a more accurate determination of the areas that should be prioritized for folding. Nevertheless, it is important to note that these improvements may come at the cost of reduced computational efficiency. Therefore, future research directions could involve exploring parallel computing techniques and utilizing GPUs to enhance computational efficiency.

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Image unprojection for 3D surface reconstruction: A triangulation-based approach

Cited by 3 publications

References 11 publications

Method for calibration accuracy improvement of projector-camera-based structured light system

Method for calibration accuracy improvement of projector-camera-based structured light system

Alignment of 3-D scanning data for polygonal mesh based on modified triangulation

Review of Three-Dimensional Model Simplification Algorithms Based on Quadric Error Metrics and Bibliometric Analysis by Knowledge Map

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