In this paper we propose a visual estimation algorithm to aid the guidance system of an unmanned aerial vehicle (UAV). Specifically, we are considering a glider UAV trying to reach a target zone. Given that the UAV is...
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this paper presents a subjective video quality study of video sequences coded using the scalable extension of the H.264 standard (SVC). A group of experiments was performed to measure, primarily, the effects of transm...
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image segmentation is still a challenging issue in pattern recognition. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks, one being high processing times. W...
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In this paper we propose a new and efficient texture feature extraction method: the Segmentation-based Fractal Texture Analysis, or SFTA. the extraction algorithm consists in decomposing the input image into a set of ...
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the image Foresting Transform (IFT) is a tool for the design of imageprocessing operators based on connectivity, which reduces imageprocessing problems into an optimum-path forest problem in a graph derived from the...
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the image Foresting Transform (IFT) is a tool for the design of imageprocessing operators based on connectivity, which reduces imageprocessing problems into an optimum-path forest problem in a graph derived from the image. A new image operator is presented, which solves segmentation by pruning trees of the forest. An IFT is applied to create an optimum-path forest whose roots are seed pixels, selected inside a desired object. In this forest, object and background are connected by optimum paths (leaking paths), which cross the object's boundary through its "most weakly connected" parts (leaking pixels). these leaking pixels are automatically identified and their subtrees are eliminated, such that the remaining forest defines the object. Tree pruning runs in linear time, is extensible to multidimensional images, is free of ad hoc parameters, and requires only internal seeds, with little interference from the heterogeneity of the background. these aspects favor solutions for automatic segmentation. We present a formal definition of the obtained objects, algorithms, sufficient conditions for tree pruning, and two applications involving automatic segmentation: 3D MR-image segmentation of the human brain and image segmentation of license plates. Given that its most competitive approach is the watershed transform by markers, we also include a comparative analysis between them.
the design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examples necessary to obtain a good estimat...
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Magnetic resonance imaging (MRI), computed tomography scanning (CT scan), and ultrasound imaging techniques {UI} were used for data acquisition to construct/develop a 3D solid model of the human tibia, femur, and skul...
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Magnetic resonance imaging (MRI), computed tomography scanning (CT scan), and ultrasound imaging techniques {UI} were used for data acquisition to construct/develop a 3D solid model of the human tibia, femur, and skull, CT scan was found to he an acceptable technique for cadavers. CT scans are harmful to the human body in large doses, while MRIs and ultrasound are known to be safe. However, MRIs form a better tool in performing this image generation task for living beings because of its high resolution capacity when compared withimages obtained using ultrasound techniques. High resolution poses to be a very important factor, as the consideration of various material properties of the bones was part of the emphasis of this research. MRIs have the capacity of displaying a distinct boundary between the muscles and the bone, in addition to the boundary between the cortical and the cancellous region within the bone. Ultrasound was found to be the cheapest technique and gave reasonably good results for just the outside boundaries of the bone. the models of the human bones were generated on a computer Aided Design (CAD) system, the cross-sections obtained from (MRI, CT, or UI) were scanned into the computer. imageprocessing software was used to detect the boundaries of the bones. A C + + program was used to read the coordinates of the edges and construct a B-spline curve on the CAD system. the curves were converted to a B-rep solid using skinning. the solid models were meshed, constrained, and material properties were assigned to different regions of the models for Finite Element Analysis (FEM). Copyright (C) 1997 by W.B. Saunders Company.
We present an efficient approach to greatly reduce memory usage and to achieve high rendering performance for massive 3D CAD models. Our work is based on the observation that these models often contain many instances ...
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ISBN:
(纸本)9781479942602
We present an efficient approach to greatly reduce memory usage and to achieve high rendering performance for massive 3D CAD models. Our work is based on the observation that these models often contain many instances of the same geometries. Using a shape matching algorithm, we identify these instances and estimate the optimal affine transformation between them. the resulting sets of unique geometries only require a fraction of the memory used by the original 3D model. this compact representation can be rendered efficiently using hardware-accelerated geometry instancing. As another benefit, this allows for interactive rendering of highly dynamic scenes of up to a million moving objects. Our proposal assumes no knowledge about the scene, and thus can be applied to other kinds of massive 3D models with similar properties.
In this paper, we propose different criteria for detecting unusual motion in surveillance cameras. Initially, a certain environment is observed within a time interval, and captured trajectories are used as examples of...
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Capturing and creating models of human subjects is an ongoing effort in computergraphics. In this paper, we present a framework to capture, model, simplify, and stylize an human subject. We use a consumer 3D depth ca...
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