On Using Silhouettes for Camera Calibration

Boyer, Edmond

doi:10.1007/11612032_1

Cited by 31 publications

(50 citation statements)

References 10 publications

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“…In fact silhouettes should be such that there exist a 3D region that projects onto all. This is known as the silhouette consistency constraint [30]. We exploit this property to constrain the shape of a silhouette given other silhouettes of the same 3D scene.…”

Section: Spatial Consistency Termmentioning

confidence: 99%

“…Content may change prior to final publication. and to evaluate the silhouette consistency between viewpoints, we use the silhouette calibration ratio, introduced in [30], as explained below. A set of silhouettes define a visual hull [31] which is the maximal volume consistent with all silhouettes.…”

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

“…The visual hull is thus the intersection of the backprojection of silhouettes into 3D, i.e., the viewing cones. In a perfect world with exact silhouettes and calibration, a viewing ray from any pixel inside any silhouette intersects both the observed object and the visual hull and therefore all the other viewing cones [30]. The silhouette calibration ratio measures how true this property is for any pixel.…”

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

“…As detailed in [30], the silhouette calibration ratio Cx at pixel x is a discrete measure based on the intersections between the viewing ray at x and the viewing cones from other viewpoints. In its simplest form, it takes values in the range [0…”

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

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Silhouette Segmentation in Multiple Views

Lee

Woo

Boyer

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identifies such regions in images under the assumption that, in each image, background and foreground regions present different color properties. To achieve this task, monocular color information is not sufficient and we exploit the spatial consistency constraint that several image projections of the same space region must satisfy. Combining monocular color consistency constraint with multi-view spatial constraints allows to automatically and simultaneously segment the foreground and background regions in multi-view images. In contrast to standard background subtraction methods, the proposed approach does not require a priori knowledge of the background nor user interaction. Experimental results under realistic scenarios demonstrate the effectiveness of the method for multiple camera setups.

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Section: Spatial Consistency Termmentioning

confidence: 99%

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

Section: Ieee Transactions On Pattern Analysis and Machine Intelligencementioning

confidence: 99%

See 2 more Smart Citations

Silhouette Segmentation in Multiple Views

Lee

Woo

Boyer

2011

IEEE Trans. Pattern Anal. Mach. Intell.

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“…As with the synchronization step, the silhouette information could also be used to recover calibration information, using for instance [24,25]. However practical considerations on accuracy favor again a solution which is specific to our dedicated environment.…”

Section: Calibrationmentioning

confidence: 99%

Multicamera Real-Time 3D Modeling for Telepresence and Remote Collaboration

Petit

Lesage

Ménier³

et al. 2010

International Journal of Digital Multimedia Broadcasting

Self Cite

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We present a multicamera real-time 3D modeling system that aims at enabling new immersive and interactive environments. This system, called Grimage, allows to retrieve in real-time a 3D mesh of the observed scene as well as the associated textures. This information enables a strong visual presence of the user into virtual worlds. The 3D shape information is also used to compute collisions and reaction forces with virtual objects, enforcing the mechanical presence of the user in the virtual world. The innovation is a fully integrated system with both immersive and interactive capabilities. It embeds a parallel version of the EPVH modeling algorithm inside a distributed vision pipeline. It also adopts the hierarchical component approach of the FlowVR middleware to enforce software modularity and enable distributed executions. Results show high refresh rates and low latencies obtained by taking advantage of the I/O and computing resources of PC clusters. The applications we have developed demonstrate the quality of the visual and mechanical presence with a single platform and with a dual platform that allows telecollaboration.

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Camera Calibration and Shape Recovery from Videos of Two Mirrors

Chen

Zhang

2015

Computer Vision - ECCV 2014 Workshops

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Mirrors are often studied for camera calibration since they provide symmetric relationship for object which can guarantee synchronization in multiple views. However, it is sometimes difficult to compute the reflection matrices of mirrors. This thesis aims to solve the problem of camera calibration and shape recovery from a two-mirror system which is able to generate five views of an object. It firstly studies the similarity relationship of the motion formed by the five views in two-mirror system with the circular motion. It is shown that the motion formed by the five views can be regarded as two circular motions so that we can avoid computing the reflection matrices of mirrors. This thesis then shows the most important problem which is to recover the vanishing line of rotation plane and the imaged circular points by two unknown equal angles via metric rectification. After that, it is easy to recover the imaged rotation axis and the vanishing points X-axis via imaged circular points.

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On Using Silhouettes for Camera Calibration

Cited by 31 publications

References 10 publications

Silhouette Segmentation in Multiple Views

Silhouette Segmentation in Multiple Views

Multicamera Real-Time 3D Modeling for Telepresence and Remote Collaboration

Camera Calibration and Shape Recovery from Videos of Two Mirrors

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