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Robust Depth-Based Person Re-Identification
2017
IEEE Transactions on Image Processing
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The effectiveness of our models was validated on publicly available depth pedestrian datasets as compared to related methods for person re-identification. ...
Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. ...
in person re-identification. ...
doi:10.1109/tip.2017.2675201
pmid:28252397
fatcat:po4vvke3lncbvl6c5i6swu6rsi
Virtual face image generation for illumination and pose insensitive face recognition
2003
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)
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Based on this strategy, this paper presents some attempts by presenting a ratio-image based face relighting method and a face re-rotating approached based on linear shape prediction and image warp. ...
However, enough samples are not always available for many practical applications. ...
However, notice that all faces have similar 2D and 3D shapes, so we can try to first warp all faces to the same shape and then compute the ratio-image for relighting the standard face images. ...
doi:10.1109/icme.2003.1221270
dblp:conf/icmcs/GaoSCF03
fatcat:zpa643v2pfg67f3bfxqqeplp4i
Depth-based person re-identification
2015
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)
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Person re-identification aims to match people across non-overlapping camera views. ...
It is also insensitive to slight shape change and invariant to color change and background. We combine our descriptor with skeleton-based feature to get a complete representation of human body. ...
Since both ED and PCM are rotation invariant, Eigen-depth feature is more tolerant to body shape change than PCM and more suitable for person re-identification. ...
doi:10.1109/acpr.2015.7486459
dblp:conf/acpr/WuZL15
fatcat:rxwtvpsg3revfpum5naijstq7y
A survey of approaches and trends in person re-identification
2014
Image and Vision Computing
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In this paper, we explore the problem of person re-identification and discuss the current solutions. ...
Given an image/video of a person taken from one camera, re-identification is the process of identifying the person from images/videos taken from a different camera. ...
The distance model for matching exists in the covariance feature space.
4.3.2.1. Attribute based person re-identification. ...
doi:10.1016/j.imavis.2014.02.001
fatcat:3w7ju7pzl5gkbgl5djsbakrr7i
Mapping Appearance Descriptors on 3D Body Models for People Re-identification
2014
International Journal of Computer Vision
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In this paper, we propose a complete re-identification framework which exploits non-articulated 3D body models to spatially map appearance descriptors (color and gradient histograms) into the vertices ...
People Re-identification aims at associating multiple instances of a person's appearance acquired from different points of view, different cameras, or after a spatial or a limited temporal gap to the same ...
The key points of this work are: 1. the definition of a non-articulated 3D body model for people re-identification; 2. the selection of color and texture descriptors to generate a model-based person signature ...
doi:10.1007/s11263-014-0747-z
fatcat:bob3st5tjzcsfc6m3zvj4a7jci
Representation, Analysis, and Recognition of 3D Humans
2018
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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These deep features can be learned from point sets (and surfaces), landmarks and volumes. ...
At large, the contra-position is between hand-crafted and learned features: these can capture the spatial information only or also account for the temporal dimension. ...
Gait and Re-Identification. Person (re-)identification through gait analysis, as an interesting and non-intrusive biometric means, has been extensively studied in recent years. ...
doi:10.1145/3182179
fatcat:ds55t4md2na2tibtyg4llerf3q
Expressive facial style transfer for personalized memes mimic
2019
The Visual Computer
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To conduct distortion-free transferring of exaggerated geometry, we propose a novel accurate feature curve-based face reconstruction algorithm for 3D-aware image warping. ...
Furthermore, we propose an identity preserving blending model, based on a deep neural network, to enhance facial expressive textural details. ...
Acknowledgements We thank the anonymous reviewers for the insightful and constructive comments, Matt Boyd-Surka for proofreading this manuscript, Jinghui Zhou, Keli Cheng and Xiaodong Gu for valuable discussions ...
doi:10.1007/s00371-019-01695-6
fatcat:pzg65wnzszhgdkvwe24j643pdq
Histogram of the node strength and histogram of the edge weight: two new features for RGB-D person re-identification
2018
Science China Information Sciences
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In this paper, novel features are proposed for RGB-D person re-identification. ...
This paper presents a novel method for short-term person re-identification. ...
features for RGB-D person re-identification. ...
doi:10.1007/s11432-016-9086-8
fatcat:du7spxtetrgqrhhlvhg2hxsoza
Template based Mole Detection for Face Recognition
2010
Journal of clean energy technologies
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Face recognition is used for personal identification. ...
The Template based Mole Detection for Face Recognition (TBMDFR) algorithm is proposed to verify authentication of a person by detection and validation of prominent moles present in the skin region of a ...
Table 1 gives the algorithm of TBMDFR to detect and validate the mole present on face for personal identification.
V. ...
doi:10.7763/ijcte.2010.v2.243
fatcat:ufjugr7iqvbl3bnkpp3rh2mzky
On soft biometrics
2015
Pattern Recognition Letters
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The approaches lead to a new type of recognition, and one similar to Bertillonage which is one of the earliest approaches to human identification. ...
Acknowledgments This work has been partially supported by the European Commission COST Action IC1106 "Integrating Biometrics and Forensics for the Digital Age" ...
One such example is the usage of 3D ear shape, as ear contains little texture and the most descriptive attribute for gender recognition is its shape [Lei 2013 ]. ...
doi:10.1016/j.patrec.2015.08.006
fatcat:h7jykhmqpvff5irda4xgrtpv4m
Orientation Driven Bag of Appearances for Person Re-identification
[article]
2016
arXiv
pre-print
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. body-structure based feature representation (BSFR) which introduces body structure pyramid for codebook learning and feature pooling in the vertical direction of human body. ...
Person re-identification (re-id) consists of associating individual across camera network, which is valuable for intelligent video surveillance and has drawn wide attention. ...
In this paper, we present a novel body-structure based feature representation (BSFR) approach for person re-identification. ...
arXiv:1605.02464v1
fatcat:l5hmyxy4svavfa5caatxzeyrqi
How Much Information Kinect Facial Depth Data Can Reveal About Identity, Gender and Ethnicity?
[chapter]
2015
Lecture Notes in Computer Science
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Four local feature extraction methods are investigated for both face texture and shape description. ...
The low-cost depth sensors such as Microsoft Kinect introduced in late 2010 allow extracting directly 3D information, together with RGB color images. ...
Authors are thankful for DGRSDT and MESRS for their support. ...
doi:10.1007/978-3-319-16181-5_55
fatcat:7tedvf43t5hg3irxz5es5afmcy
3D Assisted Face Recognition: Dealing With Expression Variations
2014
IEEE Transactions on Information Forensics and Security
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For this purpose, an animatable 3D model is generated for each user based on 17 automatically located landmark points. ...
One of the most critical sources of variation in face recognition is facial expressions, especially in the frequent case where only a single sample per person is available for enrollment. ...
After the hole and noise free face model (texture and shape) is obtained, 17 feature points are automatically detected using either shape, texture or both, according to the regional properties of the face ...
doi:10.1109/tifs.2014.2309851
fatcat:gymlitg6mreppgxd2l42qs4tse
INTELLIGENT CCTV FOR MASS TRANSPORT SECURITY: CHALLENGES AND OPPORTUNITIES FOR VIDEO AND FACE PROCESSING
[chapter]
2009
Series in Machine Perception and Artificial Intelligence
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The histogrambased bag-of-features technique is capable of achieving an average recognition accuracy of 89% for pose angles of around 25 degrees. ...
However due to the amount of cameras installed, many sites have abandoned expensive human monitoring and only record video for forensic purposes. ...
which represents the change between shape and texture. ...
doi:10.1142/9789812834461_0030
dblp:series/smpai/SandersonBSCBL09
fatcat:gpa62z5ryzbnbhnthpcmiakhra
Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing
2007
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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The histogrambased bag-of-features technique is capable of achieving an average recognition accuracy of 89% for pose angles of around 25 degrees. ...
However due to the amount of cameras installed, many sites have abandoned expensive human monitoring and only record video for forensic purposes. ...
which represents the change between shape and texture. ...
doi:10.5565/rev/elcvia.140
fatcat:g6yitxaigzfdhccshsc7l4av3e
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