Guangqi Hou

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Recently, light field cameras have drawn much attraction for their innovative performance in photographic and scientific applications. However, narrow baselines and constrained spatial resolution of current light field cameras impose restrictions on their usability. Therefore, we design a hybrid imaging system containing a light field camera and a(More)
Over the past decade, shape reconstruction methods have been limited to Lambertian reflectance with uniform albedo and controlled lighting environment. In this paper, we present an approach for recovering high-quality shapes from 4D light fields, which can handle non-Lambertian and multi-albedo scenes with shadows and inter-reflections. 4D light fields(More)
Light field imaging provides a novel solution to the passive 3D imaging technology. However the dense multi-view sub-aperture images decoded from the light field raw image have extremely narrow baselines, which lead to inconsistent matching with terrible blurriness and ambiguities. This paper presents an accurate depth estimation algorithm for object(More)
Light field cameras generate low-resolution images due to the tradeoff between spatial and angular resolution. Traditional light field super-resolution (LFSR) methods depend on prior knowledge of depth information. This paper presents a projection-based LFSR solution without prior information based on redefinition of the mapping function between disparity(More)
Many kinds of multimedia data can be obtained easily by hand-held devices easily nowadays. In this paper, we prompt a panorama-based processing architecture which combines repeated data of images/videos to increase the speed of browsing diverse multimedia information. Two servers, feature server (FS) extracting scale invariant feature transform (SIFT)(More)
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