Guilherme P. Fickel

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This paper presents a new approach for stereo matching and view interpolation problems based on triangular tessellations suitable for a linear array of rectified cameras. The domain of the reference image is initially partitioned into triangular regions using edge and scale information, aiming to place vertices along image edges and increase the number of(More)
One of the biggest challenges in view interpolation is to fill the regions without projective information in the synthesized view. In this paper, we present a new approach that identifies and corrects different types of missing information. In the first stage, we propose a fast solution to tackle the problems of cracks and ghost, common artifacts in the(More)
This paper presents a new bilayer video segmentation algorithm focusing on videoconferencing application. A face tracking algorithm is used to guide a generic Ω-shaped template of the head and shoulders. A region of interest (ROI) is created around the generic template, and an energy function based on edge, color and motion cues is used to define the(More)
In this paper we propose a new disparity map estimation algorithm from multiple rectified images. The reference image is initially segmented into triangular regions, and each triangle is assigned to an initial disparity, leading to a piece-wise constant disparity map. Then, a refinement step is applied, where the disparity of the triangle vertices is(More)
In Depth Image-Based Rendering (DIBR), interpolated views generated using one or two cameras usually present artifacts and holes due to occlusions and/or inconsistencies in the input disparity maps. In this paper we propose a multiple (3 or more) camera view interpolation technique that is able to combine redundant projections in a single interpolated view(More)
This paper proposes a method for motion tracking of objects without a pre-defined shape, the main aspect of this method is the use of a probabilistic volumetric reconstruction that incorporates motion information. First, a volumetric reconstruction of the objects of interest is obtained by the 3D Probabilistic Occupancy Grid method, which was recently(More)
Stereo matching has a long history in image processing and computer vision. In fact, there are inumerous approaches reported in the literature, and quantitative evaluation is usually performed by comparing the obtained disparity maps with ground truth data (using the MSE, for instance). One important application of stereo matching is view interpolation,(More)
This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric reconstruction technique, called 3D Probabilistic Occupancy Grids, which is still seldom used for this purpose. The target is tracked by the(More)