José R. A. Torreão

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Binocular disparities arise from positional differences of scene features projected in the two retinae, and constitute the primary sensory cue for stereo vision. Here we introduce a new computational model for disparity estimation, based on the Green's function of an image matching equation. When filtering a Gabor-function-modulated signal, the considered(More)
We present a new algorithm for shape from shading, inspired on the recently introduced disparity-based approach to photometric stereo. Assuming that the single input image will be matched to a second image through a uniform disparity eld, we construct an irradiance conservation equation and solve it for the matching image, via Green's function. When a(More)
We present a Bayesian approach to the machine vision processes of shape-from-shading and photometric stereo, also considering the associated question of the detection of shape discontinuities. The shape reconstruction problem is formulated as a maximum a posteriori (MAP) estimation from probability distributions of Gibbs form, and is solved via simulated(More)
The limited depth of field causes scene points at various distances from a camera to be imaged with different amounts of defocus. If images captured under different aperture settings are available, the defocus measure can be estimated and used for 3D scene reconstruction. Usually, defocusing is modeled by gaussian convolution over local image patches, but(More)
We describe a data-driven motion simulation algorithm based on an affine image-matching equation. Solving such equation via the Green's function approach, we have obtained a pair of filters which, when applied over an input image, allow the generation of virtual sequences that convey a compelling motion impression. Complex rigid and nonrigid motions have(More)