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Titlebook: Articulated Motion and Deformable Objects; 8th International Co Francisco José Perales,José Santos-Victor Conference proceedings 2014 Sprin

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樓主: Opulent
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發(fā)表于 2025-3-28 15:41:57 | 只看該作者
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發(fā)表于 2025-3-28 21:01:19 | 只看該作者
Using Webcam to Enhance Fingerprint Recognition,olled manner. This paper studies how webcams can be used to take images in more or less uncontrolled manner to produce images that can be used for fingerprint matching. The idea is to take photo of a finger(preferably thumb) casually from a webcam either using a mobile device or tablet. The image is
43#
發(fā)表于 2025-3-29 02:46:44 | 只看該作者
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發(fā)表于 2025-3-29 06:49:58 | 只看該作者
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發(fā)表于 2025-3-29 09:12:20 | 只看該作者
A Graph Based Segmentation Strategy for Baggage Scanner Images,found a general solution that can be applied for every stage. In this paper a graph based segmentation strategy is proposed aimed to images resulting from baggage scanners used by the General Customs of the Republic of Cuba. This strategy is a bottom up one that combines the Minimum Spanning Tree an
46#
發(fā)表于 2025-3-29 12:45:53 | 只看該作者
Fast Upper Body Joint Tracking Using Kinect Pose Priors,We argue that this is not ideal and instead attempt to incorporate these constraints through priors obtained directly from training data, by fitting a Gaussian mixture model to a large dataset of recorded human body poses, tracked using a Kinect sensor. We combine this information with a random walk
47#
發(fā)表于 2025-3-29 18:55:53 | 只看該作者
48#
發(fā)表于 2025-3-29 21:36:33 | 只看該作者
3D Human Motion Analysis for Reconstruction and Recognition, obviously become popular increasing the measurement accuracy and speed. In this paper, we propose a method for 3D human motion analysis for reconstruction and recognition. We use 3D gait signatures computed from 3D data that are obtained from a triangulation-based projector-camera system. The metho
49#
發(fā)表于 2025-3-30 02:42:28 | 只看該作者
50#
發(fā)表于 2025-3-30 07:00:27 | 只看該作者
Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation,, we address this problem using sparse representation and discriminative dictionary learning, which have shown promising results in compression, image denoising and recently in MRI segmentation. Particularly, we use multiclass dictionaries learned from a set of brain atlases to simultaneously segmen
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