Image-based visual hulls

Matusik, Wojciech; Buehler, Chris; Raskar, Ramesh; Gortler, Steven J.; McMillan, Leonard

doi:10.1145/344779.344951

Cited by 725 publications

(452 citation statements)

References 30 publications

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“…Shape-from-silhouette methods reconstruct geometry models of a scene from multi-view silhouette images or video streams. Examples are image-based [27,51] or polyhedral visual hull methods [26], as well as approaches performing point-based reconstruction [16]. The combination of stereo reconstruction with visual hull rendering leads to a more faithful reconstruction of surface concavities [25].…”

Section: Free-viewpoint Videomentioning

confidence: 99%

Video-based Capturing and Rendering of People

2008

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Abstract. The interesting combination of Chapters in this book gives a nice overview of the importance of the analysis of human motion in three different scientific disciplines, computer vision, biomechanics, and computer graphics. In the computer vision field the main goal has been to develop robust and efficient techniques for capturing and measuring human motion. Researchers from biomechanics, on the other hand, try to capitalize on such measurement methods to analyze the characteristics of human motion. In contrast, the focus of computer graphics research has been to realistically animate and render moving humans. In this Chapter, we will outline that a joint solution to the acquisition, the reconstruction, and the rendering problem paves the trail for video-based capturing and rendering of people. We present a model-based system to create realistic 3D videos of human actors that puts this idea into practice. Our method enables us to capture human actors with multiple video cameras and to render their performances in real-time from arbitrary novel viewpoints and under arbitrary novel lighting conditions.

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Section: Free-viewpoint Videomentioning

confidence: 99%

Video-based Capturing and Rendering of People

2008

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“…The closest to the proposed work is CMU's Virtualized Reality [7] and its early dedicated real-time parallel architecture for stereo. Other multi-camera systems include the view-dependent visual hull approach [5], the Keck laboratory at the University of Maryland [1] and the Argus system at Duke University [2].…”

Section: Related Workmentioning

confidence: 99%

Real-time Terascale Implementation of Tele-immersion

Kelshikar

Zabulis

Mulligan

et al. 2003

Lecture Notes in Computer Science

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Abstract. Tele-immersion is a new medium that enables a user to share a virtual space with remote participants, by creating the illusion that users at geographically dispersed locations reside at the same physical space. A person is immersed in a remote world, whose 3D representation is acquired remotely, then transmitted and displayed in the viewer's environment. Tele-immersion is effective only when the three components, computation, transmission, and rendering -all operate in real time . In this paper, we describe the real-time implementation of scene reconstruction on the Terascale Computing System at the Pittsburgh Supercomputing Center.

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“…Free-viewpoint video rendering (FVVR) gives the user the freedom to choose the viewpoint from which to view a captured scene [1][2][3]. FVVR has been applied successfully in sports TV production [4,5] and video conferencing [6] among other applications.…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Textures for Relightable Free-Viewpoint Video

Imber

Guillemaut

Hilton

2014

Computer Vision – ECCV 2014

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Abstract. This paper presents an approach to estimate the intrinsic texture properties (albedo, shading, normal) of scenes from multiple view acquisition under unknown illumination conditions. We introduce the concept of intrinsic textures, which are pixel-resolution surface textures representing the intrinsic appearance parameters of a scene. Unlike previous video relighting methods, the approach does not assume regions of uniform albedo, which makes it applicable to richly textured scenes. We show that intrinsic image methods can be used to refine an initial, low-frequency shading estimate based on a global lighting reconstruction from an original texture and coarse scene geometry in order to resolve the inherent global ambiguity in shading. The method is applied to relighting of free-viewpoint rendering from multiple view video capture. This demonstrates relighting with reproduction of fine surface detail. Quantitative evaluation on synthetic models with textured appearance shows accurate estimation of intrinsic surface reflectance properties.

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Image-based visual hulls

Cited by 725 publications

References 30 publications

Video-based Capturing and Rendering of People

Video-based Capturing and Rendering of People

Real-time Terascale Implementation of Tele-immersion

Intrinsic Textures for Relightable Free-Viewpoint Video

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