Full Camera Calibration from a Single View of Planar Scene

Chen, Yisong; Ip, Horace H. S.; Huang, Zhangjin; Wang, Guoping

doi:10.1007/978-3-540-89639-5_78

Cited by 10 publications

(8 citation statements)

References 16 publications

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“…Wang et al [13] contributed camera calibration from two line segments with equal length or known length ratio, circle and a vanishing point. Chen et al [14] calculates all intrinsic parameters from two coplanar circles and vanishing points/lines. The use of symmetry was proposed by Hong et al [15] using translational, reflective and rotational symmetry.…”

Section: Related Workmentioning

confidence: 99%

Estimating Intrinsic Parameter of Camera from a Single Image

Kiran¹,

Murali²

2015

Second International Conference on Advances in Computing, Control and Networking - ACCN 2015

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In this paper, an intrinsic parameter of camera from a single image is formulated. Compared to other techniques which use two or three orthogonal planes, parallelograms, rectangles, conic circles and balls, the proposed technique is easy to use and flexible. Calculation of the focal length using a single image is the main objective of this research work. A stick is employed as the calibration object to formulate the equations in order to compute the focal length. The arrangement of the calibration object to acquire the images adds more accuracy in computing the focal length of the camera. The length of the calibration object is the major cue in computing the focal length. A novel approach using polynomial regression is attempted in formulating the cubic polynomials based on the length of the calibration object. The results are tabulated and further used in formulating equation to compute the focal length of the camera. Experimental results are tabulated to show the accuracy of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

Estimating Intrinsic Parameter of Camera from a Single Image

Kiran¹,

Murali²

2015

Second International Conference on Advances in Computing, Control and Networking - ACCN 2015

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“…Several algorithms have been proposed in the literature to solve this problem, exploiting either vanishing points [49,50], vanishing lines [51], conics [52,53] or the image of the Absolute Conic [42], usually making some assumptions on the intrinsic parameters (e.g., zero skew or known principal point) to reduce the complexity of the problem.…”

Section: The Structure Of Musamentioning

confidence: 99%

MusA: Using Indoor Positioning and Navigation to Enhance Cultural Experiences in a Museum

Rubino

Xhembulla

Martina

et al. 2013

Sensors

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Abstract:In recent years there has been a growing interest in the use of multimedia mobile guides in museum environments. Mobile devices have the capabilities to detect the user context and to provide pieces of information suitable to help visitors discover and follow the logical and emotional connections that develop during the visit. In this scenario, location based services (LBS) currently represent an asset, and the choice of the technology to determine users' position, combined with the definition of methods that can effectively convey information, become key issues in the design process. In this work, we present Museum Assistant (MusA), a general framework for the development of multimedia interactive guides for mobile devices. Its main feature is a vision-based indoor positioning system that allows the provision of several LBS, from way-finding to the contextualized communication of cultural contents, aimed at providing a meaningful exploration of exhibits according to visitors' personal interest and curiosity. Starting from the thorough description of the system architecture, the article presents the implementation of two mobile guides, developed to respectively address adults and children, and discusses the evaluation of the user experience and the visitors' appreciation of these applications.

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“…Besides, we suggest two algorithms for camera calibration: one uses the images of circular points and the other is with the vanishing points. Compared with [18], this paper and [7] use only two circles rather than array circles. Hence, the involved pattern is simpler and more common in our surroundings.…”

Section: Introductionmentioning

confidence: 96%

“…Hence, the involved pattern is simpler and more common in our surroundings. When calibrating, although our algorithms need more images than [7], the implementation is faster since non-linear optimisation can be avoided. We have carried out both numerical simulations and real data experiments with the proposed algorithms.…”

Section: Introductionmentioning

confidence: 98%

“…For example, the authors in [6] showed that the focal length and extrinsic parameters can be calibrated with one single image of a sheet containing two arbitrary coplanar circles. Chen et al [7] suggested a full calibration scheme through identifying multiple orthogonal directions and optimising a probability function by maximum likelihood estimate. Compared with [6], the algorithm eliminates many a-priori constraints, such as known principal point and aspect ratio, and hence is very practical.…”

Section: Introductionmentioning

confidence: 99%

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Concentric-circle-based camera calibration

Zhang

Chen

2012

IET Image Process.

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In recent years, camera calibration and three-dimensional (3D) reconstruction have attracted more and more attentions in the vision community and found wide applications in many vision-based robotics. This article discusses about a new technique for camera calibration based on concentric circles, whose positions and sizes can be arbitrary. Here, the key problem is how to efficiently estimate the projections of the circle centre from the images. The solution for this problem is formulated into a firstorder polynomial eigenvalue problem (PEP) by considering the pole -polar relationship in the image. Then the camera can be calibrated with the images of circular points or the vanishing points. Accordingly, two algorithms are suggested. Finally, both numerical simulation and real data experiments have been carried out to validate the algorithms.

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Full Camera Calibration from a Single View of Planar Scene

Cited by 10 publications

References 16 publications

Estimating Intrinsic Parameter of Camera from a Single Image

Estimating Intrinsic Parameter of Camera from a Single Image

MusA: Using Indoor Positioning and Navigation to Enhance Cultural Experiences in a Museum

Concentric-circle-based camera calibration

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