A Fast and Flexible Projector-Camera Calibration System

Huang, Bingyao; Tang, Ying; Özdemir, Samed; Ling, Haibin

doi:10.1109/tase.2020.2994223

Cited by 30 publications

(9 citation statements)

References 61 publications

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“…In theory, the projector compensation process is a very complicated nonlinear function involving the camera and the projector sensor radiometric responses [38], lens distortion/vignetting [30], perspective transformations [23], [63], surface material reflectance [21], [41], defocus [31], [59], [61] and inter-reflection [53]. A great amount of effort has been dedicated to designing practical and accurate compensation models, which can be roughly categorized into two types: full compensation [4], [17], [44], [49], [51], [52], [58] and partial ones [1], [3], [13], [15], [20], [35], [38], [48], [53].…”

Section: Related Workmentioning

confidence: 99%

CompenNet++: End-to-End Full Projector Compensation

Huang

Ling

2019

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

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Full projector compensation aims to modify a projector input image such that it can compensate for both geometric and photometric disturbance of the projection surface. Traditional methods usually solve the two parts separately, although they are known to correlate with each other. In this paper, we propose the first end-to-end solution, named CompenNet++, to solve the two problems jointly. Our work non-trivially extends CompenNet [15], which was recently proposed for photometric compensation with promising performance. First, we propose a novel geometric correction subnet, which is designed with a cascaded coarse-to-fine structure to learn the sampling grid directly from photometric sampling images. Second, by concatenating the geometric correction subset with CompenNet, Com-penNet++ accomplishes full projector compensation and is end-to-end trainable. Third, after training, we significantly simplify both geometric and photometric compensation parts, and hence largely improves the running time efficiency. Moreover, we construct the first setup-independent full compensation benchmark to facilitate the study on this topic. In our thorough experiments, our method shows clear advantages over previous arts with promising compensation quality and meanwhile being practically convenient.

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Section: Related Workmentioning

confidence: 99%

CompenNet++: End-to-End Full Projector Compensation

Huang

Ling

2019

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

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“…Some strategies apply Zhang's method (6,7) and rely on planar calibration targets or planar projection surfaces. These planar methods typically rely on acquiring a linear homography transformation between a calibration plane and the projector image plane, which is not able to accurately model the nonlinear distortions introduced by projector lenses (6), though some incorporate a further adjustment to address these limitations (1). For strategies that do not require planar scenes or calibration targets, external constraints employed are prior information for camera and projector intrinsic parameters (3,8).…”

Section: Introductionmentioning

confidence: 99%

“…Accessibility of projector technology is vastly improved for the spectrum of users through quick, barrier-free calibration techniques. Projector-camera systems, widely used in 3D scanning and augmented reality (1,2,3), commonly rely on lengthy and burdensome calibration techniques. These calibration methods may rely on fixed cameras, may require that these cameras are of known calibration, on known calibration targets, or require planar scenes.…”

Section: Introductionmentioning

confidence: 99%

“…For strategies that do not require planar scenes or calibration targets, external constraints employed are prior information for camera and projector intrinsic parameters (3,8). However, these assumptions are often violated for projectors (1,6), and this reliance on projector prior information can be detrimental to the accuracy of methods using approximated priors.…”

Section: Introductionmentioning

confidence: 99%

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30‐3: A Moving Camera and Synthetic Calibration Target Solution for Non‐Planar Scene Estimation and Projector Calibration

Arnold

Fieguth

Lamm

2022

Symp Digest of Tech Papers

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The automatic calibration of projector systems improves the possible environments available to this technology which relies on exact scene calibration. This paper explores the challenge of projector calibration and non‐planar scene estimation. This formulation assumes no prior information on the moving camera or fixed projector. Limited scene understanding provides the basis for constructing synthetic calibration targets to perform a geometric recovery through bundle adjustment. Synthetic data are generated from ground‐truth camera and projector parameters to explore the method's performance over varying properties of the synthetic calibration targets.

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“…To quantitatively measure the deformation, the system is calibrated with pre-known patterns, and the relative positions between the object, the projector and the camera are determined in the calibration process. By calculating the deformation of the stripes and the relative positions between the projector and camera, the 3D information of the object is measured [ 6 , 7 , 8 ]. A calibration algorithm has recently been proposed by G. Taubin et al [ 6 ], which significantly reduces computation time and improves the resolution of the imaging system.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Microscopic Image Reconstruction Based on Structured Light Illumination

Shi

Yang

Zhu

et al. 2021

Sensors

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In this paper, we propose and experimentally demonstrate a three-dimensional (3D) microscopic system that reconstructs a 3D image based on structured light illumination. The spatial pattern of the structured light changes according to the profile of the object, and by measuring the change, a 3D image of the object is reconstructed. The structured light is generated with a digital micro-mirror device (DMD), which controls the structured light pattern to change in a kHz rate and enables the system to record the 3D information in real time. The working distance of the imaging system is 9 cm at a resolution of 20 μm. The resolution, working distance, and real-time 3D imaging enable the system to be applied in bridge and road crack examinations, and structure fault detection of transportation infrastructures.

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A Fast and Flexible Projector-Camera Calibration System

Cited by 30 publications

References 61 publications

CompenNet++: End-to-End Full Projector Compensation

CompenNet++: End-to-End Full Projector Compensation

30‐3: A Moving Camera and Synthetic Calibration Target Solution for Non‐Planar Scene Estimation and Projector Calibration

Three-Dimensional Microscopic Image Reconstruction Based on Structured Light Illumination

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