The similarity of pixel intensities, presence of noise, existence of partial volume effect and so on make segmentation of neighboring structures in medical image a challenging task. In this paper, we present a novel a...
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Manifold learning has become an important tool to characterize high-dimensional data that vary nonlinearly due to a few parameters. Applications to the analysis of medical imagery and human motion patterns have been s...
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We extend the concept of good continuation in a uniform fashion from boundaries to shading, hue, and texture. Each has the property that heal measurements yield an orientation, which we explicitly establish for hue us...
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The proceedings contain 201 papers. The topics discussed include: a camera-projector system for robot positioning by visual servoing;robust content-dependent photometric projector compensation;automatic interactive ca...
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ISBN:
(纸本)0769526462
The proceedings contain 201 papers. The topics discussed include: a camera-projector system for robot positioning by visual servoing;robust content-dependent photometric projector compensation;automatic interactive calibration of multi-projector-camera systems;robust and accurate visual echo cancellation in a full-duplex projector-camera system;discriminative patch selection using combinatorial and statistical models for patch-based object recognition;integrating co-occurrence and spatial contexts on patch-based scene segmentation;using spatio-temporal patches for simultaneous estimation of edge strength, orientation, and motion;integrating spatial and discriminant strength for feature selection and linear dimensionality reduction;fingerprint authentication device based on optical characteristics inside a finger;and empirical mode decomposition liveness check in fingerprint time series captures.
Offline signature recognition is an important form of biometric identification that can be used for various purposes. Similar to other biometric measures, signatures have inherent variability and so pose a difficult r...
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Perceptual grouping of the complete boundaries of objects in natural images remains an unsolved problem in computervision. The computational complexity of the problem and difficulties capturing global constraints lim...
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Semantic scene classification is still a challenging problem in computervision. In contrast to the common approach of using low-level features computed from the scene, our approach uses explicit semantic object detec...
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Semantic image segmentation aims to partition an image into separate regions, which ideally corresponds to different real-world objects. Many segmentation algorithms have been proposed, exploiting a wide variety of im...
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This paper presents a perceptual grouping algorithm that performs boundary extraction on natural images. Our grouping method maintains and updates a model of the appearance of the image regions on either side of a gro...
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We introduce a novel, method for modeling the natural anatomical variation of an organ along inter-patient and intra-patient axes using a bilinear model. Bilinear models are attractive for this purpose since one type ...
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