A problem of interest in digital video editing is the elimination of moving objects from one video and the introduction of pieces of other videos in their places. A fundamental problem to build computational tools for...
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Multiple vanishing point detection provides the key to recovering the perspective pose of textured planes. If vanishing points are to be detected from spectral information then there are two computational problems tha...
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Summary form only given, as follows. In imageprocessing, the transformations of an image to another one are obtained through operators. Among the most important operators are the linear operators and the morphologica...
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Summary form only given, as follows. In imageprocessing, the transformations of an image to another one are obtained through operators. Among the most important operators are the linear operators and the morphological ones (dilations and erosions). We recall the definition of these operators and present an algebraic characterization of them for the case of spatial invariance. The importance of this characterization is that it shows the differences and similarities between the linear and morphological operators. It helps to understand how these operators are built (http://***:1905/rep/***/banon/1999/06.21.09.31).
Advanced human-computer interaction (HCI) techniques are required to enhance current computer interfaces. In this paper, we present an eye gaze tracking system based on a robust low-cost real-time pupil detector, and ...
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Texture analysis and synthesis is very important for computergraphics, vision, and imageprocessing. This paper describes an algorithm which can produce new textures with a matching visual appearance from a given exa...
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Texture analysis and synthesis is very important for computergraphics, vision, and imageprocessing. This paper describes an algorithm which can produce new textures with a matching visual appearance from a given example image. Our algorithm is based on a model that characterizes textures using a nonlinear deterministic function. During analysis, an example texture is summarized into this function using tree structure vector quantization. An output texture, initially random noise, is then synthesized from this estimated function. Compared to existing approaches, our algorithm can efficiently generate a wide variety of textures. The effectiveness of our approach is demonstrated using standard test images from the Brodatz texture album.
This paper presents a new algorithm for the cyclification of 1D signals, based on a time×frequency warping. The main goal is to preserve the basic characteristics of the signal, such as low and high frequency reg...
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We study the performance of affine arithmetic as a replacement for interval arithmetic in interval methods for ray casting implicit surfaces. Affine arithmetic is a variant of interval arithmetic designed to handle th...
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We study the performance of affine arithmetic as a replacement for interval arithmetic in interval methods for ray casting implicit surfaces. Affine arithmetic is a variant of interval arithmetic designed to handle the dependency problem, and which has improved several interval algorithms in computergraphics.
This paper describes an approach to face detection, which is the first stage of any fully automated human face recognition system. We propose several enhancements to a feature-based approach described by K.C. Yow and ...
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This paper describes an approach to face detection, which is the first stage of any fully automated human face recognition system. We propose several enhancements to a feature-based approach described by K.C. Yow and R. Cipolla (1997) in an attempt to obtain more accurate results: namely, the attentive feature selection and grouping phases are modified in order to deal with incomplete feature detection while, at the same time, reducing the number of candidates and candidate groups considered.
Mathematical morphology has become a widely-used technique for imageprocessing and computer vision. Initially designed as a set theory, it was generalized to the set of gray-scale images and to the complete lattice f...
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Mathematical morphology has become a widely-used technique for imageprocessing and computer vision. Initially designed as a set theory, it was generalized to the set of gray-scale images and to the complete lattice framework. Despite this accredited theoretical evolution, contemporary practice in morphological algorithm development still lacks a standardized, mathematically rigorous algebraic structure that is specifically designed for image handling. The purpose of this paper is twofold: first, it is intended to give rise to a new morphological framework that overcomes the combinatorial explosion of algorithms needed to deal with all possible types of lattices and structuring functions. Second, it provides us with the essential tools to design and implement generic building blocks for morphological image operators.
Visualization systems that support multiple-display viewing can greatly enhance user perception. The common approach to provide multiple synchronized views uses a powerful centralized processing unit to support the re...
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Visualization systems that support multiple-display viewing can greatly enhance user perception. The common approach to provide multiple synchronized views uses a powerful centralized processing unit to support the rendering process on all screens. As an alternative approach, we propose a distributed architecture that supports a flexible and reliable visualization system that, while giving the users a sensation of immersion, uses a heterogeneous network of low-end graphics workstations. The proposed system ensures portability and synchronization of all displayed views.
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