Virtual studios: an overview

Gibbs, Simon; Arapis, Constantin; Breiteneder, Christian; Lalioti, Vali; Mostafawy, Sina; Speier, J.

doi:10.1109/93.664740

Cited by 53 publications

(33 citation statements)

References 4 publications

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“…Employing (5), . Since the previous formula holds for every on and also (6) In this sense, for any pair of lines in (for example and ), since and , and not collinear with…”

Section: Camera Location and Orientation Estimationmentioning

confidence: 90%

“…Since no correspondence information is needed, all available lines can be employed for the estimation of . On the contrary, from (6) and (8), it can be seen that the estimation of the translation matrix requires knowledge on the correspondence of lines in the reference scene and the current frame, which is also intuitively expected. However, it will be shown that knowledge of along with the adopted strategy in the construction of the blue screen allow both the establishment of line correspondences and the computation of .…”

Section: Camera Location and Orientation Estimationmentioning

confidence: 95%

“…Video sequences produced by such systems are basically compositions of distinct natural or synthetic sequences, which are either pre-loaded or captured in real time. In the most common case, the composed sequence (often referred to as virtual set) consists of a live video and a pre-loaded synthetic or natural imagery [6]. In this context, increasing attention is given to such systems, especially after the guidelines of the MPEG-4 standard regarding object-oriented and synthetic-natural-hybrid coding.…”

Section: Introductionmentioning

confidence: 99%

“…Several virtual studio systems have been developed as prototypes or as commercial products, including Elset, 3DK, Synthevision for electromechanical and Cyberset, Mindset for optical tracking among others (see [6] for details). Electromechanical tracking has been widely adopted, since it can be highly accurate.…”

Section: Introductionmentioning

confidence: 99%

“…Although in this way the problems of timecostly calibration and vibrations of the camera are overpassed, it can be seen that optical systems fail when the referenced features are out of focus, occluded or even out of view. It is moreover reported that markers cause compositing problems, since they must be made distinguishable from the blue background [6].…”

Section: Introductionmentioning

confidence: 99%

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Efficient optical camera tracking in virtual sets

Xirouhakis

Drosopoulos

Delopoulos

2001

IEEE Trans. on Image Process.

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Abstract-Optical tracking systems have become particularly popular in virtual studios applications tending to substitute electromechanical ones. However, optical systems are reported to be inferior in terms of accuracy in camera motion estimation. Moreover, marker-based approaches often cause problems in image/video compositing and impose undesirable constraints on camera movement. Present work introduces a novel methodology for the construction of a two-tone blue screen, which allows the localization of camera in three-dimensional (3-D) space on the basis of the captured sequence. At the same time, a novel algorithm is presented for the extraction of camera's 3-D motion parameters based on 3-D-to-two-dimensional (2-D) line correspondences. Simulated experiments have been included to illustrate the performance of the proposed system.

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“…Employing (5), . Since the previous formula holds for every on and also (6) In this sense, for any pair of lines in (for example and ), since and , and not collinear with…”

Section: Camera Location and Orientation Estimationmentioning

confidence: 90%

Section: Camera Location and Orientation Estimationmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient optical camera tracking in virtual sets

Xirouhakis

Drosopoulos

Delopoulos

2001

IEEE Trans. on Image Process.

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Calibration of a moving camera using a planar pattern: Optimal computation, reliability evaluation, and stabilization by the geometric AIC

Matsunaga¹,

Kanatani

2001

Electron Comm Jpn Pt III

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SUMMARYWe propose a simultaneous calibration scheme for computing the parameters of a continuously moving and continuously zooming camera by placing a planar pattern behind the object. We describe a procedure for computing an analytical solution which is exact in the absence of noise, estimating an optimal solution that attains the theoretical accuracy bound in the presence of noise, and evaluating the reliability of the computed solution. Finally, we show that degenerate configurations in which the solution is indeterminate and statistical fluctuations of computation can be avoided by model selection. This is done by comparing the model predicted from the history of the camera motion with the actually computed model by the geometric AIC. We confirm the effectiveness of our method by simulations and show real image examples. © 2001 Scripta Technica, Electron Comm Jpn Pt 3, 84(7): 1221, 2001

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Calibration of a Moving Camera Using a Planar Pattern: Optimal Computation, Reliability Evaluation, and Stabilization by Model Selection

Matsunaga¹,

Kanatani

2000

Lecture Notes in Computer Science

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We present a scheme for simultaneous calibration of a continuously moving and continuously zooming camera: placing an easily distinguishable pattern in the scene, we calibrate the camera from an unoccluded portion of the pattern image in each frame. We describe an optimal method which provides an evaluation of the reliability of the solution. We then propose a technique for avoiding the inherent degeneracy and statistical fluctuations by model selection using the geometric AIC and the geometric MDL.

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Virtual studios: an overview

Cited by 53 publications

References 4 publications

Efficient optical camera tracking in virtual sets

Efficient optical camera tracking in virtual sets

Calibration of a moving camera using a planar pattern: Optimal computation, reliability evaluation, and stabilization by the geometric AIC

Calibration of a Moving Camera Using a Planar Pattern: Optimal Computation, Reliability Evaluation, and Stabilization by Model Selection

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