In this paper, identification and verification approach based on human iris pattern is presented. The system is based on several steps from capturing the iris pattern, determining and localizing the iris boundaries, t...
In order to enhance the noise reduction capability and recognition efficiency of speech recognition technology applied in medical devices, this paper adopts an improved subspace CNN based noise reduction model, adding...
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Despite the great success of CNN (Convolutional Neural Network) in SISR (Single image Super-Resolution), the increase in network depth leads to higher computational complexity and memory usage, which extremely hinders...
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A complete pipeline of data fusion from range images for a 3D object reconstruction and modeling is presented. The proposed approach includes multi-view registration, data integration, smoothing, and resampling. First...
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ISBN:
(纸本)0769521274
A complete pipeline of data fusion from range images for a 3D object reconstruction and modeling is presented. The proposed approach includes multi-view registration, data integration, smoothing, and resampling. Firstly, the range images taken from multiple views are registered through a set of translation and rotation matrices whose coefficients are carefully pre-calculated. Then, a definition and two criteria to overlap elimination are provided as the foundation together with kd-tree data structure and nearest neighbor searching technique for data integration. A surface-based smoothing filter and a reliable resampling method, called the ball-travel-based resampling, are also given for surface quality improvement and data size reduction. All the operations manipulate range images directly without additional preprocessing.operation, such as meshing or implicit surface function calculation to each range image, and thus provide a straightforward way to fuse any 3D data. The approach is applied to various range data sets of objects with different geometry shapes. The experimental results demonstrate the efficiency and applicability of the proposed method.
Scale space techniques have attracted much attention in the field of computer vision and imageprocessing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number o...
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ISBN:
(纸本)9781424441990
Scale space techniques have attracted much attention in the field of computer vision and imageprocessing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number of nice properties. In this paper the scale space concept is first explained in detail and its significance in solving shape-based vision problems is clarified. A brief survey of the theoretical developments of the CSS technique in the past few decades is then presented.
Foreground object segmentation is a critical step for many image analysis tasks. While automated methods can produce high-quality results, their failures disappoint users in need of practical solutions. We propose a r...
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ISBN:
(纸本)9781467388511
Foreground object segmentation is a critical step for many image analysis tasks. While automated methods can produce high-quality results, their failures disappoint users in need of practical solutions. We propose a resource allocation framework for predicting how best to allocate a fixed budget of human annotation effort in order to collect higher quality segmentations for a given batch of images and automated methods. The framework is based on a proposed prediction module that estimates the quality of given algorithm-drawn segmentations. We demonstrate the value of the framework for two novel tasks related to ""pulling the plug" on computer and human annotators. Specifically, we implement two systems that automatically decide, for a batch of images, when to replace 1) humans with computers to create coarse segmentations required to initialize segmentation tools and 2) computers with humans to create final, fine-grained segmentations. Experiments demonstrate the advantage of relying on a mix of human and computer efforts over relying on either resource alone for segmenting objects in three diverse datasets representing visible, phase contrast microscopy, and fluorescence microscopy images.
Every country has their own language and script. This may or may not common to other countries. To communicate with each other we need to have a common language. English is the language that is performing that role. S...
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The proceedings contain 461 papers. The topics discussed include: distributed lock manager for distributed file system in shared-disk environment;an asymmetric data conversion scheme based on binary tags;scalable orch...
ISBN:
(纸本)9780769541082
The proceedings contain 461 papers. The topics discussed include: distributed lock manager for distributed file system in shared-disk environment;an asymmetric data conversion scheme based on binary tags;scalable orchestration strategy for automatic service composition;an energy efficient clustering scheme for self-organizing distributed wireless sensor networks;conceptual multi-level hierarchy for evaluation and classification;QoS assessment over multiple attributes;feature selection of gene expression data using regression model;incremental emerging patterns mining for identifying safe and non-safe power load lines;methods of pattern extraction and interval prediction for equipment maintenance;text detection using multilayer separation in real scene images;face recognition using layered linear discriminant analysis and small subspace;and a rotate-based best neighborhood matching algorithm for high definition image error concealment.
Nonlinear nature of Holographic Data Storage Systems (HDSS) suggests that nonlinear equalization and detection techniques may be beneficial. Complexity involved in nonlinear methods does not often make them practical ...
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The use of computer aided design requires line drawings and m p s to be digitized and stored in databases. The input of line drawings and nwps into data bases requires vectorization of lines, and recognition of symbol...
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