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    Jonathan Starck

    Page 1. Transfer of Albedo and Local Depth Variation to Photo-Textures Francho Melendez Loughborough University FAMelendez@lboro.ac.uk Mashhuda Glencross Loughborough University M.Glencross@lboro.ac.uk Jon Starck The Foundry Visionmongers... more
    Page 1. Transfer of Albedo and Local Depth Variation to Photo-Textures Francho Melendez Loughborough University FAMelendez@lboro.ac.uk Mashhuda Glencross Loughborough University M.Glencross@lboro.ac.uk Jon Starck The Foundry Visionmongers jon.starck@thefoundry.co.uk Gregory J. Ward Dolby Laboratories gward@dolby.com ABSTRACT Acquisition of displacement and albedo maps for full building façades is a difficult problem and traditionally achieved through a labor intensive artistic process. ...
    A technique to measure surface geometry using a conductive ink sensor is described. In the human system distorted cylinders are common, and geometry can be reconstructed from local measures of curvature. An algorithm is presented to... more
    A technique to measure surface geometry using a conductive ink sensor is described. In the human system distorted cylinders are common, and geometry can be reconstructed from local measures of curvature. An algorithm is presented to reconstruct the shape of a surface from a series of curvature measurements. The Abrams Gentile Entertainment patented bend sensor was evaluated as a curvature transducer. The sensor was tested at the extremes of the likely measurement range, from curvatures below 0.01 mm−1 up to a curvature of 0.1 mm−1. The upper curvature limit proved beyond the design specification of the sensor. The technique was applied at the lower curvature range to reconstruct one quadrant of the chest of a volunteer and record breathing movement. The bend sensor is inexpensive and can be applied to obtain an approximate reconstruction of surface geometry in the human system.
    ... Prof. Adrian Hilton and Dr. Jonathan Starck c Peng Huang 2007 ... intrinsic 3D shape description.Chua and Jarvis [8] introduce a point signature, which is invariant to rotation and translation, to describe 3D free-form surfaces. ...... more
    ... Prof. Adrian Hilton and Dr. Jonathan Starck c Peng Huang 2007 ... intrinsic 3D shape description.Chua and Jarvis [8] introduce a point signature, which is invariant to rotation and translation, to describe 3D free-form surfaces. ... follows: (θmin,φmin) = minθ,φ{d(Xi(θ, φ),Yi(0, 0))} ...
    Research Interests:
    This paper introduces a representation for multiple view video to support high-quality interactive free-viewpoint rendering of moving people. Multiple wide baseline views are integrated into a view-dependent representation based on pair... more
    This paper introduces a representation for multiple view video to support high-quality interactive free-viewpoint rendering of moving people. Multiple wide baseline views are integrated into a view-dependent representation based on pair wise refinement of the visual-hull. An exact view- dependent visual-hull (VDVH) algorithm is presented to compute an initial approximation of the scene geometry. Refinement of the VDVH surface is
    This paper introduces the concept of a "3D Virtual Studio" for human appearance capture, akin to the motion capture studio for human motion tracking. Ultimately the 3D Virtual Studio should enable video-realistic recon-... more
    This paper introduces the concept of a "3D Virtual Studio" for human appearance capture, akin to the motion capture studio for human motion tracking. Ultimately the 3D Virtual Studio should enable video-realistic recon- struction of a moving person from any viewpoint. A mesh-based stereo technique is presented to reconstruct a moving person from multiple camera views. This technique optimises a
    This paper presents a novel volumetric reconstruction technique that com- bines shape-from-silhouette with stereo photo-consistency in a global op- timisation that enforces feature constraints across multiple views. Human shape... more
    This paper presents a novel volumetric reconstruction technique that com- bines 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 ap- pearance, complex self-occlusions and sparse feature cues represent a chal- lenging problem for conventional reconstruction techniques. A unified ap- proach is introduced
    Virtual view synthesis of people from multiple view video sequences
    ABSTRACT Conventional view-dependent texture mapping techniques produce composite images by blending subsets of input images, weighted according to their relative influence at the rendering viewpoint, over regions where the views overlap.... more
    ABSTRACT Conventional view-dependent texture mapping techniques produce composite images by blending subsets of input images, weighted according to their relative influence at the rendering viewpoint, over regions where the views overlap. Geometric or camera calibration errors often result in a los s of detail due to blurring or double exposure artefacts which tends to be exacerbated by the number of blending views considered. We propose a novel view-dependent rendering technique which optimises the blend region dynamically at rendering time, and reduces the adverse effects of camera calibration or geometric errors otherwise observed. The technique has been successfully integrated in a rendering pipeline which operates at interactive frame rates. Improvement over state-of-the-art view-dependent texture mapping techniques are illustrated on a synthetic scene as well as real imagery of a large scale outdoor scene where large camera calibration and geometric errors are present.
    This paper presents a framework for construction of an- imated models from captured surface shape of real objects. Algorithms are introduced to transform the captured sur- face shape into a layered model. The layered model com- prises an... more
    This paper presents a framework for construction of an- imated models from captured surface shape of real objects. Algorithms are introduced to transform the captured sur- face shape into a layered model. The layered model com- prises an articulation structure, generic control model and a displacement map to represent the high-resolution surface detail. Novel methods are presented for automatic control
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