this paper presents a novel grammar-based GUI with an integrated back-end engine that enables accurate single view reconstruction with minimum supplementary information from the user. Our grammar allows a dynamic symb...
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Simulation and rendering of material weathering is of great interest in computergraphics as it facilitates modeling of realistic objects in virtual scenes. We present a physiochemically based methodology to model pit...
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ISBN:
(纸本)1595930361
Simulation and rendering of material weathering is of great interest in computergraphics as it facilitates modeling of realistic objects in virtual scenes. We present a physiochemically based methodology to model pitting corrosion. Our simulation has two components. the first models pit nucleation on the surface of the object. It is implemented as a stochastic process, exponentially deteriorating with time. the second component models pit growth using another stochastic process inuenced by pit characteristics (geometry, neighborhood and exposure). We validate our model with measurements published in the corrosion literature and then demonstrate its effectiveness in generating realistic images. Our corrosion model leads to shape degradation. Color degradation is less tractable. Hence we instead learn that directly from acquired images of corroded models. We present an efficient rendering algorithm that generates color, normal and depth textures to display the corrosion of any object of interest. this is an important step in linking the appearance to structural damage. Copyright 2014. ACM.
this paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microuidics based Imaging Flow Cytometry (IFC). these two cell lines differ in their internal cell comp...
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ISBN:
(纸本)1595930361
this paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microuidics based Imaging Flow Cytometry (IFC). these two cell lines differ in their internal cell complexity in an IFC image. Each cell is localized by finding a closed cell membrane binding internal organelles. An existing non-iterative graph based contour detection algorithm is extended and is effectively used to segment out the cells. Features reecting the size, circularity and internal cell complexity are extracted and used for classification using linear Support Vector Machine. Copyright is held by the authors.
this book constitutes the refereed proceedings of the 20th International conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024.;...
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ISBN:
(数字)9783031505836
ISBN:
(纸本)9783031505829
this book constitutes the refereed proceedings of the 20th International conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024.;the 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. the papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). the DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.
this paper proposes a new high speed Single image Super Resolution algorithm and also suggests modifications that can perform super resolution on video sequences. Embarking from recent successful algorithms proposed b...
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Form processing refers to the process of extraction of information from filled-in forms. In this work, we have addressed three very crucial challenges of a form processing system, namely touching component separation,...
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We propose a graphical user interface based groundtruth generation tool in this paper. Here, annotation of an input document image is done based on the foreground pixels. Foreground pixels are grouped together with us...
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In this paper, we propose a region based saliency detection algorithm using a total variation based regularizer. We aim to obtain salient objects that are uniformly highlighted. the use of the regularizer facilitates ...
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ISBN:
(纸本)1595930361
In this paper, we propose a region based saliency detection algorithm using a total variation based regularizer. We aim to obtain salient objects that are uniformly highlighted. the use of the regularizer facilitates the removal of textures from the image. this leads to an imagethat contains piecewise constant gray-valued segments. this texture-free image is sparsely segmented into a small number of regions using the expectation maximization algorithm assuming a Gaussian mixture model. We compute saliency of regions using their intensity and spatial features. the saliency map is then thresholded to obtain the salient regions of the image. Next we employ an image matting technique to extract the exact boundaries of the salient objects from the image. this approach leads to noise-free saliency maps containing uniformly highlighted salient regions. the experimental comparison with existing saliency detection algorithms demon-strates the superiority of the proposed technique. Copyright 2014 ACM.
Saliency plays a key role in various computervision tasks. Extracting salient regions from images and videos have been a well established problem of computervision. While segmenting salient objects from images depen...
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Imposing expressions on expression-neutral human face images is an interesting application of human-computer-interaction, animation, entertainment and other such fields. the objective of this paper is to impose one of...
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