due to the increasing needs of always faster automation technology in the field of industrial fabrication the common methods of machine vision meet their limits. The reasons are the widely used serial computation and ...
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ISBN:
(纸本)0769525547
due to the increasing needs of always faster automation technology in the field of industrial fabrication the common methods of machine vision meet their limits. The reasons are the widely used serial computation andtransmission of data streams on the base of strict spatially separateddata capturing by an image sensor anddataprocessing, e.g. by a coupleddSP. To meet serious real time requirements many discrete high speed components are used which often causes high costs. In contrast we propose a 3d architecture based on stacked chip dies. In order to find a trade-off between speed and required chip area we present a space-time multiplex architecture, i.e. clusters of pixels are processed time-serially by one processor and several clusters are processed by a multi-core processor. Our architecture allows the successive computation of basic low-level image processing operations. We determined an optimal number of serially processed pixels between 16 and32 in a cluster for a resolution of 256x256 pixels. Furthermore we found out that the most efficient way is to process a line based cluster.
We present a method for compression of normal vectors that (1) is general, in the sense that it can be incorporated into many different progressive geometry compression schemes; (2) is progressive, and accommodates ar...
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We present a method for compression of normal vectors that (1) is general, in the sense that it can be incorporated into many different progressive geometry compression schemes; (2) is progressive, and accommodates arbitrary view dependent refinement; and (3) gives compression ratios and rate-distortion performance superior to previous methods. Our method works by progressively refining a normal cone to one of eight possible sub-cones (including no refinement), and entropy encoding the choice. We experimentally demonstrate the effectiveness of this approach on both meshes and point clouds, in combination with two very different geometry progression methods.
The point containment predicate which specifies if a point is part of a mathematically defined shape is one of the most elementary operations in computer graphics and is a natural way to perform the many raster calcul...
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The point containment predicate which specifies if a point is part of a mathematically defined shape is one of the most elementary operations in computer graphics and is a natural way to perform the many raster calculations. It plays an essential role in several important processes such as filling, stroking, anti-aliasing, geometric modeling and volume rendering. This paper presents a generalized point containment algorithm for arbitrary dimension discrete objects whose main characteristics are low complexity, simple data structures and suitability for hardware implementation.
Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order to increase the overall information. T...
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Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order to increase the overall information. The combination of stereo matching and silhouette information has recently received considerable attention both for obtaining high quality 3d models and for modelling 3ddynamic scenes. In this paper we present a 3d shape recovery system which fuse together silhouette, texture and shadow information. More precisely, we formulate the fusion problem of these three types of information. Experimental verification shows that the new method is capable to reconstruct a wider range of objects.
Previous works have shown that the ear is a good candidate for a human biometric. However, in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in t...
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Previous works have shown that the ear is a good candidate for a human biometric. However, in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in the data, especially that caused by hair and earrings. We present a novel solution to the automated cropping of the ear and implement it in an end-to-end solution for biometric recognition. We demonstrate our automatic recognition process with the largest study to date in ear biometrics, 415 subjects, achieving a rank one recognition rate of 97.6%. This work represents a breakthrough in ear biometrics and paves the way for commercial quality, fully automatic systems.
We propose a technique for 3d face registration and matching using a novel representation called "isoradius contours". An isoradius contour is the contour on the 3d facial surface that is a known fixeddista...
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We propose a technique for 3d face registration and matching using a novel representation called "isoradius contours". An isoradius contour is the contour on the 3d facial surface that is a known fixeddistance relative to some predefined reference point (the tip of the nose). A 3d face representation contains many isoradius contours with different radii and the first major benefit of the technique is that the shape of the contours is independent of the facial pose, due to the infinite rotational symmetry of a sphere. The second major benefit of the technique is that registration, alignment and matching can be implemented using a simple process of Id correlation. Our results have shown that registration and alignment is of comparable accuracy to ICP (iterative closest points), but is fast, non iterative, and is robust to the presence of outliers.
We propose a mathematical approach for quantifying shape complexity of 3d surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3d feature, combines surface curvature ...
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We propose a mathematical approach for quantifying shape complexity of 3d surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3d feature, combines surface curvature and information theory by leveraging bandwidth-optimized kernel density estimators. Using a part decomposition algorithm for digitized3d objects, represented as triangle meshes, we apply our shape measure to transform the low level mesh representation into a perceptually informative form. Further, we analyze the effects of noise, sensitivity to digitization, occlusions, anddescriptiveness to demonstrate our shape measure on laser-scanned real world3d objects.
This paper presents a hybrid modeling system that fuses LidAR data, an aerial image and ground view images for rapid creation of accurate building models. Outlines for complex building shapes are interactively extract...
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This paper presents a hybrid modeling system that fuses LidAR data, an aerial image and ground view images for rapid creation of accurate building models. Outlines for complex building shapes are interactively extracted from a high-resolution aerial image, surface information is automatically fit with a primitive based method from LidAR data, and high-resolution ground view images are integrated into the model to generate fully textured CAd models. Our method benefits from the merit of each dataset, and evaluation results are presented on a university campus-size model.
In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea for an efficient implementation of thi...
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In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea for an efficient implementation of this dynamic programming approach is a recursive scheme to calculate the min-convolution in a manner suitable for the parallel stream computation model of graphics processing units. Since many image similarity functions can be efficiently calculated by modern graphics hardware, it is reasonable to address the final disparity extraction by graphics processors as well. Our timing results indicate that the proposed approach is beneficial for larger image resolutions anddisparity ranges in particular.
In this paper we report our progress in building a system for the acquisition, analysis, andvisualization of a collection of native Californian baskets from the Phoebe A. Hearst Museum of Anthropology. Our project di...
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In this paper we report our progress in building a system for the acquisition, analysis, andvisualization of a collection of native Californian baskets from the Phoebe A. Hearst Museum of Anthropology. Our project differs from existing cultural heritage applications in terms of its focus: to build tools and techniques for visualizing and studying a large number of related objects - in this case, baskets. We present our progress in the following system components: (i) laser-scanning of baskets, (ii) construction andprocessing of 3d models, and (iii) building virtual exhibits. We conclude the paper with our experiences and a summary of challenges we anticipate in building a completely automated system for processing and analyzing a large set of models - such as might be encountered when digitizing a large museum collection. Efficient retrieval andvisualization of artifact collections are important to a number of communities, including anthropology researchers, Native American tribes, and the general public.
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