lobster
发表于 2025-3-23 12:48:40
Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performanceve applications is beginning to emerge. In this paper, we consider two potential applications of computer vision in the assistive context for blind and partially sighted users. These two applications are intended to help provide answers to the questions of “Where am I?” and “What am I holding?”..Fir
羊齿
发表于 2025-3-23 14:09:56
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NAVEN
发表于 2025-3-23 20:23:59
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aqueduct
发表于 2025-3-23 22:44:02
Two Bioinspired Methods for Dynamic Signatures Analysis and movement modelling is provided. Two dynamic signature segmentation/representation methods are proposed. These methods are based on psychophysical evidences that led to the well-known Minimum Jerk Model. These methods are alternatives to the existing techniques and are very simple to implement.
phase-2-enzyme
发表于 2025-3-24 03:56:38
Online Signature Verification: Improving Performance through Pre-classification Based on Global Featoving its performance. The pre-classifier makes use of the discriminative power of some global features to discard (by declaring them as forgeries) those signatures for which the associated global feature is far away from its respective mean. For the remaining signatures, features based on a wavelet
漫不经心
发表于 2025-3-24 09:49:55
Event Based Offline Signature Modeling Using Grid Source Probabilistic Codingsed scheme advances further a previously reported feature extraction technique which exploits pixel transitions along the signature trace over predetermined two pixel paths. In this new work the feature components, partitioned in groups, are considered as events of a grid based discrete space probab
musicologist
发表于 2025-3-24 11:17:09
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大约冬季
发表于 2025-3-24 18:17:03
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ACME
发表于 2025-3-24 21:47:41
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果核
发表于 2025-3-25 00:41:20
Exploiting Stability Regions for Online Signature Verification signature verification. The definition of stability region builds upon motor learning and adaptation in handwriting generation, while their selection exploits both their ability to model signing habits and their effectiveness in capturing distinctive features. The stability regions represent the co