In this work we propose a method for computing mesh representations of 3D objects reconstructed from a set of silhouette images. Our method is based on the polygonization of volumetric reconstructions by using a modif...
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In this work we propose a method for computing mesh representations of 3D objects reconstructed from a set of silhouette images. Our method is based on the polygonization of volumetric reconstructions by using a modified version of the dual contouring method. In order to apply dual contouring on volumetric reconstruction from silhouettes we devised a method that is able to determine the discrete topology of the surface in relation to the octree cells. We also developed a new scheme for computing hermitian data representing the intersections of conic volumes withthe octree cells and their corresponding normals with subpixel accuracy. Due to the discrete and extremely noisy nature of the data used in the reconstruction we had to devise a different criterion for mesh simplification that applies topological consistency tests only when the geometric error measure is beyond a given tolerance. We present results of the application of the proposed method in the extraction of a mesh corresponding to the surface of objects of a real scene.
One of the important tasks in computer vision is the computation of object depth from acquired images. this paper explains the use of neural networks to calculate the depth of general objects using only two images, on...
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ISBN:
(纸本)3540367136
One of the important tasks in computer vision is the computation of object depth from acquired images. this paper explains the use of neural networks to calculate the depth of general objects using only two images, one of them being a focused image and the other one a blurred image. Having computed the power spectra of each image, they are divided to obtain a result which is independent from the image content. the result is then used for training Multi-Layer Perceptron (MLP) neural network (NN) trained by the backpropagation algorithm to determine the distance of the object from the camera lens. Experimental results are presented to validate the proposed approach.
this paper presents a novel image-based approach to render plausible soft shadows for complex dynamic scenes with rectangular light sources. the algorithm's performance is mostly independent of the scene complexit...
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this paper presents a novel image-based approach to render plausible soft shadows for complex dynamic scenes with rectangular light sources. the algorithm's performance is mostly independent of the scene complexity and the source's size. Occluders and receivers do not need to be separated and no knowledge about the scene representation is required, making the method easy to use. the main idea is to approximate the occlusion in the scene with pre-filtered occlusion textures. the visibility of the light source at a point in space is estimated by accumulating the occlusion caused by each texture, using a novel formula based on probabilities
the map-seeking circuit (MSC) is an explicit biologically-motivated computational mechanism which provides practical solution of problems in object recognition, image registration and stabilization, limb inverse-kinem...
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the map-seeking circuit (MSC) is an explicit biologically-motivated computational mechanism which provides practical solution of problems in object recognition, image registration and stabilization, limb inverse-kinematics and other inverse problems which involve transformation discovery. We formulate this algorithm as discrete dynamical system on a set Delta = Pi(L)(l=1)Delta((l)), where each Delta((l)) is a compact subset of a nonnegative orthant of R-n, and show that for an open and dense set of initial conditions in Delta the corresponding solutions converge to either a vector with unique nonzero element in each Delta((l)) or to a zero vector. the first result implies that the circuit finds a unique best mapping which relates reference pattern to a target pattern;the second result is interpreted as "no match found". these results verify numerically observed behavior in numerous practical applications.
this research aims at constructing an autonomously moving robot system using network communication technologies. All the sensor data are sent to one of nearby access points through a wireless LAN. Withthis infrastruc...
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Current methods that interactively render reasonably complex CSG objects are image based and are severely bandwidth limited. this paper presents a new approach to ray-tracing CSG objects composed of convex primitives ...
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Current methods that interactively render reasonably complex CSG objects are image based and are severely bandwidth limited. this paper presents a new approach to ray-tracing CSG objects composed of convex primitives that combines spatial subdivision and ray-tracing methods. By performing spatial subdivision on the CSG object until locally it is simple enough to be rendered effectively and efficiently on a GPU, we are able to share the load more evenly between the CPU and the GPU and depend less on bandwidth and more on GPU instruction throughput than current methods, hence obtaining better scalability with newer hardware
A fast algorithm for generating a polyline approximation (flattening) for the offset curves of a cubic Bezier curve segment is described. It is shown to be more efficient than the standard recursive subdivision method...
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A fast algorithm for generating a polyline approximation (flattening) for the offset curves of a cubic Bezier curve segment is described. It is shown to be more efficient than the standard recursive subdivision method by generating only 70% as many segments, but, just as importantly, 94% of all segments fall within 20% of the flatness criterion. the code runs as fast as recursive subdivision.
this work presents an architecture for real-time visualization, which is able to render a set of 3D objects by using the CPU idle time. the objects being rendered are sent to the graphics pipeline as relief impostors....
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this work presents an architecture for real-time visualization, which is able to render a set of 3D objects by using the CPU idle time. the objects being rendered are sent to the graphics pipeline as relief impostors. their depth maps are used to apply 3D image-warping operations in order to prolong the life cycle of the synthesized images. While an image is within the graphics pipeline the CPU idle time is used to generate additional necessary images. Withthis method, it is possible to render images with special illumination models and effects that are impossible or unsuitable to be implemented withthe shaders of the available graphics cards.
the volume contains 74 papers presented at the meeting. the papers are grouped under general topics that include robotic diffusion, human-robot interaction, economic evaluation, safety, systems, performance testing, a...
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ISBN:
(纸本)0903608561
the volume contains 74 papers presented at the meeting. the papers are grouped under general topics that include robotic diffusion, human-robot interaction, economic evaluation, safety, systems, performance testing, assembly, mechanical design, control methods, arc welding, accessories, imageprocessing, new robot concepts, sensors and analysis, computer-aided robotics, and robot trends. Specific subjects covered include computer-aided synthesis of least cost assembly systems, systematic robot-related accidents and standardization of safety measures for robots, robotics in spray-up processes, automated engine assembly, data driven automation, integrated vision-based work stations, study of special configurations of manipulators, and others.
In this work the architecture of an animation machine is proposed. Its main goals are the definition of the animation in a more abstract level and the simulation of the characters' behaviors to detect undesired si...
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In this work the architecture of an animation machine is proposed. Its main goals are the definition of the animation in a more abstract level and the simulation of the characters' behaviors to detect undesired situations.
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