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    Shape from Gradients. A psychophysical and computational study of the role complex illumination gradients, such as shading and mutual illumination, play in three-dimensional shape perception.

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    Publication date
    2015-06-17
    Author
    Harding, Glen
    Supervisor
    Bloj, Marina
    McKeefry, Declan J.
    Keyword
    Shape Perception, Colour Vision, Psychophysics, Gradients, Shading, Bayes, Cue Combination
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Shape Perception, Colour Vision, Psychophysics, Gradients, Shading, Bayes, Cue Combination
    Awarded
    2013
    
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    Abstract
    The human visual system gathers information about three-dimensional object shape from a wide range of sources. How effectively we can use these sources, and how they are combined to form a consistent and accurate percept of the 3D world is the focus of much research. In complex scenes inter-reflections of light between surfaces (mutual illumination) can occur, creating chromatic illumination gradients. These gradients provide a source of information about 3D object shape, but little research has been conducted into the capabilities of the visual system to use such information. The experiments described here were conducted with the aim of understanding the influence of chromatic gradients from mutual illumination on 3D shape perception. Psychophysical experiments are described that were designed to investigate: If the human visual system takes account of mutual illumination when estimating 3D object shape, and how this might occur; How colour shading cues are integrated with other shape cues; The relative influence on 3D shape perception of achromatic (luminance) shading and chromatic shading from mutual illumination. In addition, one chapter explores a selection of mathematical models of cue integration and their applicability in this case. The results of the experiments suggest that the human visual system is able to quickly assess and take account of colour mutual illuminations when estimating 3D object shape, and use chromatic gradients as an independent and effective cue. Finally, mathematical modelling reveals that the chromatic gradient cue is likely integrated with other shape cues in a way that is close to statistically optimal.
    URI
    http://hdl.handle.net/10454/7266
    Type
    Thesis
    Qualification name
    PhD
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