Because of the convenience of a text-based format 3d content is often published in form of a gzipped file that contains an ASCII description of the scene graph. While compressed image, audio, and video data is kept in...
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ISBN:
(纸本)0769515215;0769515223
Because of the convenience of a text-based format 3d content is often published in form of a gzipped file that contains an ASCII description of the scene graph. While compressed image, audio, and video data is kept in separate binary files, polygon meshes and interpolators are usually included uncompressed into the ASCII description, as there is no widely-accepted standard for such data. In this paper we show how to use compressed polygon meshes and compressed interpolators within a purely textbased format. Our scheme codes these data-heavy nodes as ASCII strings that compress well with standard gzip compression. Specifically we demonstrate the efficiency of this technique on a sparse scene composed of many small polygon meshes. While typical for 3d content on the Web, such scenes tend to be more difficult to compress.
In this paper, we propose an efficient low complexity geometry compression scheme for densely sampled irregular 3d meshes. This scheme is based on 3d multiresolution analysis (3ddiscrete Wavelet Transform) and includ...
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ISBN:
(纸本)0769515223
In this paper, we propose an efficient low complexity geometry compression scheme for densely sampled irregular 3d meshes. This scheme is based on 3d multiresolution analysis (3ddiscrete Wavelet Transform) and includes a model-based bit allocation process across the wavelet subbands. Coordinates of 3d wavelet coefficients are processed separately and statistically modeled by a generalized Gaussian distribution. This permits an efficient allocation even at low bitrate with very low complexity. Moreover, we introduce predictive geometry coding of LF subbands by taking in account the correlation of the coarsest level coefficients. Finally, we use EBCOT coder to efficiently encode the quantized coefficients.
In this paper a novel method for 3d content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3d content based search tool and the very interesting results of research work done in t...
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ISBN:
(纸本)9780769528250
In this paper a novel method for 3d content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3d content based search tool and the very interesting results of research work done in the past on the performance of Krawtchouk moments and Krawtchouk moment invariants in image processing, Weighted3d Krawtchouk moments are introduced for efficient 3d analysis which are suitable for content-based search and retrieval applications. The proposed method was tested on Princeton Shape Benchmark. Experiments have shown that the proposed method is superior in terms of precision-recall comparing with other well-known methods reported in the literature.
In this paper a novel method for 3d model content-based search and retrieval based on the 3d Radon Transform and a querying-by-3d-model approach, is presented. descriptors are extracted using the 3d Radon Transform an...
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ISBN:
(纸本)0769522238
In this paper a novel method for 3d model content-based search and retrieval based on the 3d Radon Transform and a querying-by-3d-model approach, is presented. descriptors are extracted using the 3d Radon Transform and applying a set of functionals on the transform coefficients. Similarity measures are then created for the extracteddescriptors and introduced into a 3d model-matching algorithm. This results to a very fast and accurate matching method. Experiments were performed using two different databases and comparing the proposed method with others. Experimental results show that the proposed method can be used for 3d model search and retrieval in a highly efficient manner.
The human vision system can discriminate regions which differ up to the second order statistics only. A lot of malignant tumours have boundaries which are not visible to the human eye. We present an algorithm designed...
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ISBN:
(纸本)0769522238
The human vision system can discriminate regions which differ up to the second order statistics only. A lot of malignant tumours have boundaries which are not visible to the human eye. We present an algorithm designed to reveal "hidden" boundaries in grey level images, by computing gradients in higher order statistics of the data. We demonstrate it by applying it to the identification of possible "hidden" boundaries of gliomas as manifest themselves in MRI 3d scans.
This paper describes the technique used to generate stereo pair images starting from a single image source (single view-point) and its relateddepth map. The conjunction between source image anddepth map allows recon...
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ISBN:
(纸本)0769515215;0769515223
This paper describes the technique used to generate stereo pair images starting from a single image source (single view-point) and its relateddepth map. The conjunction between source image anddepth map allows reconstructing artificially the binocular view producing a 3d effect depending on screen dimension and image resolution. The system does not reconstruct the real 3d-coordinates of any object inside the scene, but simply assigns the most comfortable shift to the source points to give a 3d-entertainment to the viewer. A simple smoothing filtering technique adaptively resolves the occlusions generated by shifting of the source points without introducing visible and/or annoying artifacts.
In this paper we describe a system that can build3d animal models and synthesize animations in 3d virtual environments. The model is constructed by 2d images captured by specific views. The animation is synthesised b...
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ISBN:
(纸本)0769522238
In this paper we describe a system that can build3d animal models and synthesize animations in 3d virtual environments. The model is constructed by 2d images captured by specific views. The animation is synthesised by using physical motion models of the animal and tracking data from image sequences. Finally, the user selects some points of the 3d world and a smooth and safe motion path, which passes by these points, is created. The main assumption of the 3d modelling is that the animal could be divided into parts whose normal sections are ellipses. Joints and angles between skeleton points are used in order to decrease models complexity. Using the above methodology, a snake, a lizard and a goat are reconstructed.
Oil and gas exploration decisions are made based on inferences obtained from seismic data interpretation. The interpretation task is getting very time-consuming as seismic data sets become larger Image processing tool...
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ISBN:
(纸本)9780769528250
Oil and gas exploration decisions are made based on inferences obtained from seismic data interpretation. The interpretation task is getting very time-consuming as seismic data sets become larger Image processing tools such as auto-trackers assist manual interpretation of horizons-visible boundaries between certain sediment layers in seismic data. Auto-trackers assume data continuities;therefore, their assistance is very limited in areas of discontinuities such as faults. In this paper, we present a method for automatic horizon matching across faults based on a Bayesian approach. A stochastic matching model which integrates 3d spatial information of seismic data and prior geological knowledge is introduced. The optimal matching solution is found by MAP estimate of this model. A simulated annealing with reversible jump Markov Chain Monte Carlo algorithm is employed to sample from a-posteriori distribution. The model was applied to real 3d seismic data, and has shown to produce geologically acceptable horizons matchings.
Vision and hearing are inherently, different perceptual systems. The vision system is tuned to extract spatial information of surfaces and edges, while the auditory system is better suited to detect the temporal behav...
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ISBN:
(纸本)0769515215;0769515223
Vision and hearing are inherently, different perceptual systems. The vision system is tuned to extract spatial information of surfaces and edges, while the auditory system is better suited to detect the temporal behavior of sources. However, there are spatial audio effects that can be used to overcome some limitations of visual displays, especially when time-varying complex scenarios have to be rendered, and when the visual display devices are limited in size and complexity. We will review some spatial sound effects and give hints for applications in information visualization.
2d or 3d shapes are the most important visual information that we use to recognize an object. We propose a unified framework "ShapeLab" to search similar 2d or 3d shapes from an existing database. Users can ...
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ISBN:
(纸本)9780769528250
2d or 3d shapes are the most important visual information that we use to recognize an object. We propose a unified framework "ShapeLab" to search similar 2d or 3d shapes from an existing database. Users can search 3d shapes with a 2d input, and vice versa. ShapeLab is composed of four key components: (1) pose determination for 3d models;(2) 2d orthogonal view generation based on multiple levels of detail;(3) similarity measurement between 2d shapes;and (4) freehand sketch-based user interface. Key algorithms supporting the above components are briefly described. Experiments show ShapeLab can provide a better performance such as high accuracy, flexibility and scalability compared to the available methods.
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