A target-adapted geometric calibration method for camera-projector system

Chien, Hsiang-Jen; Chen, C.-Y.; Chen, C.-F.

doi:10.1109/ivcnz.2010.6148842

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…In previous work [15], we have used a sequence of colored block patterns that extends the classical 1-D Gray-coded patterns to obtain initial correspondences. In this work, we adopt line features because they are easy and fast to detect, and also more robust against pattern interference and chromatic distortion.…”

Section: Incremental Calibration Frameworkmentioning

confidence: 99%

“…In order to sample as many control points as possible in the reconstructed view, the process requires establishing dense point-wise mapping from the projection screen to the image plane in sub-pixel precision. It usually involves the projection of a sequence of temporally-codified light patterns, which is not only a time-consuming procedure, but also poses problem when classifying pixels on the stripe boundaries [15]. As a result, dense correspondences come at the cost of either dropped accuracy or increased scanning time, which are not desirable in the calibration process.…”

Section: Introductionmentioning

confidence: 99%

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An Incremental Target-Adapted Strategy for Active Geometric Calibration of Projector-Camera Systems

Chen

Chien

2013

Sensors

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The calibration of a projector-camera system is an essential step toward accurate 3-D measurement and environment-aware data projection applications, such as augmented reality. In this paper we present a two-stage easy-to-deploy strategy for robust calibration of both intrinsic and extrinsic parameters of a projector. Two key components of the system are the automatic generation of projected light patterns and the incremental calibration process. Based on the incremental strategy, the calibration process first establishes a set of initial parameters, and then it upgrades these parameters incrementally using the projection and captured images of dynamically-generated calibration patterns. The scene-driven light patterns allow the system to adapt itself to the pose of the calibration target, such that the difficulty in feature detection is greatly lowered. The strategy forms a closed-loop system that performs self-correction as more and more observations become available. Compared to the conventional method, which requires a time-consuming process for the acquisition of dense pixel correspondences, the proposed method deploys a homography-based coordinate computation, allowing the calibration time to be dramatically reduced. The experimental results indicate that an improvement of 70% in reprojection errors is achievable and 95% of the calibration time can be saved.

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Section: Incremental Calibration Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Incremental Target-Adapted Strategy for Active Geometric Calibration of Projector-Camera Systems

Chen

Chien

2013

Sensors

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“…Many of these developments use chessboards-based planar references alone or with a combination of other planar surfaces to automatically measure 2D points (i.e., image points) and establish point correspondences [8][9][10][11][12][13][14]. Other authors use augmented reality markers to establish such correspondences or other kind of self-designed planar markers [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Projector Calibration Method for Virtual Reality Simulators with Analytically Defined Screens

et al. 2017

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Abstract:The geometric calibration of projectors is a demanding task, particularly for the industry of virtual reality simulators. Different methods have been developed during the last decades to retrieve the intrinsic and extrinsic parameters of projectors, most of them being based on planar homographies and some requiring an extended calibration process. The aim of our research work is to design a fast and user-friendly method to provide multi-projector calibration on analytically defined screens, where a sample is shown for a virtual reality Formula 1 simulator that has a cylindrical screen. The proposed method results from the combination of surveying, photogrammetry and image processing approaches, and has been designed by considering the spatial restrictions of virtual reality simulators. The method has been validated from a mathematical point of view, and the complete system-which is currently installed in a shopping mall in Spain-has been tested by different users.

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