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Creating realistic animated models of people is a central task in digital content production. Traditionally, highly skilled artists and animators construct shape and appearance models for digital character. They then define the character's motion at each time frame or specific key-frames in a motion sequence to create a digital performance. Increasingly,(More)
This paper presents a novel volumetric reconstruction technique that combines shape-from-silhouette with stereo photo-consistency in a global op-timisation that enforces feature constraints across multiple views. Human shape reconstruction is considered where extended regions of uniform appearance , complex self-occlusions and sparse feature cues represent(More)
This paper addresses the problem of estimating dense correspondence between arbitrary frames from captured sequences of shape and appearance for surfaces undergoing free-form deformation. Previous techniques require either a prior model, limiting the range of surface deformations, or frame-to-frame surface tracking which suffers from stabilisation problems(More)
This paper presents a performance evaluation of shape similarity metrics for 3D video sequences of people with unknown temporal correspondence. Performance of similarity measures is compared by evaluating Receiver Operator Characteristics for classification against ground-truth for a comprehensive database of synthetic 3D video sequences comprising(More)
This paper introduces spherical matching to estimate dense temporal correspondence of non-rigid surfaces with genus-zero topology. The spherical domain gives a consistent 1D parameterization of non-rigid surfaces for matching. Non-rigid 3D surface correspondence is formulated as the recovery of a bijective mapping between two surfaces in the 2D domain.(More)
Multiple view 3D video reconstruction of actor performance captures a level-of-detail for body and clothing movement which is time-consuming to produce using existing animation tools. In this paper we present a framework for concatenative synthesis from multiple 3D video sequences according to user constraints on movement, position and timing. Multiple 3D(More)
Multiple-camera systems are currently in development as a means to capture and synthesise highly realistic three-dimensional (3D) video content. Studio systems for 3D production of human performance are reviewed from the literature and the practical experience gained in developing prototype studios is reported across two research laboratories. System design(More)
This contribution introduces a new approach of using multi-camera images of an event to provide a free-viewpoint video visualisation of sport scenes. This allows a virtual camera to be moved freely around and to view the action from any angle. The system is based on 3D reconstruction techniques previously developed for studio use. A number of different 3D(More)
The problem of 3D shape matching is typically restricted to static objects to classify similarity for shape retrieval. In this paper we consider 3D shape matching in temporal sequences where the goal is instead to find similar shapes for a single time-varying object, here the human body. Local- feature distribution descriptors are adopted to provide a rich(More)