Mahalanobis distance in face recognition celebrity

Distance metric optimization driven convolutional neural ...

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Despite the great advances in face-related works in recent years, face recognition across age remains a challenging problem. The traditional approaches to this problem usually include two basic steps: feature extraction and the application of a distance metric, sometimes common space projection is also involved.

Distance metric optimization driven convolutional neural ...

c++ - Face Recognition using webcam - Stack Overflow

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Face Recognition using webcam. Ask Question. up vote 0 down vote favorite. I have been using OpenCv Libraries for awhile , used and understood a code that detects [Only one face] and recognize it the main functions are there .. this is the function of recognition ...

c++ - Face Recognition using webcam - Stack Overflow

The SVM-minus Similarity Score for Video Face Recognition ...

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Request PDF on ResearchGate | The SVM-minus Similarity Score for Video Face Recognition | Challenge, but also an opportunity to eliminate spurious similarities. Luckily, a major source of ...

The SVM-minus Similarity Score for Video Face Recognition ...

Face Recognition from Unconstrained Images: Progress with ...

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Face Recognition from Unconstrained Images: Progress with Prototypes ... characteristic used to model human face recognition. ... distance metric is used to calculate the nearest match in

Face Recognition from Unconstrained Images: Progress with ...

Fast search based on generalized similarity measure | IPSJ ...

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3/27/2017 · This paper proposes a fast recognition method based on generalized similarity measure (GSM). The GSM achieves good recognition accuracy for face recognition, but has a scalability problem. Because the GSM method requires the similarity measures between a query and all samples to be calculated, the computational cost for recognition is in proportion to the number of samples.

Fast search based on generalized similarity measure | IPSJ ...

Joint prototype and metric learning for image set ...

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Joint prototype and metric learning for image set classification: Application to video face ... The distance used in Eq. is the Mahalanobis distance between restricted affine hulls ... S. Shan, X. Chen, W. GaoManifold–manifold distance with application to face recognition based on image set. Proc. IEEE International Conference on ...

Joint prototype and metric learning for image set ...

Joint Prototype and Metric Learning for Image Set ...

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A Mahalanobis metric is learned simultaneously to measure the ... Experimental results using YouTube Celebrity, YouTube Faces, and ETH-80 datasets illustrate the efficiency on the task of video face recognition, and object categorization. Keywords: Image Set Classification, Metric Learning, Prototype Learning, Video ...

Joint Prototype and Metric Learning for Image Set ...

US9471675B2 - Automatic face discovery and recognition for ...

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The detected face is compared to a set of unknown faces to generate a cluster of unknown faces that each match with the detected face. A set of categorized videos is …

US9471675B2 - Automatic face discovery and recognition for ...

Face recognition from unconstrained images: Progress with ...

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Face Recognition from Unconstrained Images: Progress with Prototypes Rob Jenkins A. Mike Burton & David White MRC Cognition & Brain Sciences Unit Department of Psychology Cambridge University of Glasgow rob.jenkins@mrc-cbu.cam.ac.uk mike/d.white@psy.gla.ac.uk …

Face recognition from unconstrained images: Progress with ...

Multiple instance metric learning from automatically ...

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Abstract—In this paper, we present a face annotation system to automatically collect and label celebrity faces from the web. With the proposed system, we have constructed a large-scale dataset called “Celebrities on the Web, ” which contains 2.45 million distinct images of 421 436 celebrities and is orders of magnitude larger than previous datasets.

Multiple instance metric learning from automatically ...

Robust representations for face recognition: The power of ...

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Each probe face image was then rendered into the new PC space and the nearest average face located, again by Mahalanobis distance. This whole process was repeated for each of the 10 different images for each face and then rerun a total of 10 times with new random …

Robust representations for face recognition: The power of ...

Distance Metric Learning tutorial at CVPR 2015 - SlideShare

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9/10/2015 · Distance Metric Learning tutorial at CVPR 2015 1. Distance Metric Learning for Set-based Visual Recognition Ruiping Wang Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) June 7, 2015 CVPR2015 Tutorial on “Distance …

Distance Metric Learning tutorial at CVPR 2015 - SlideShare

Cross-Domain Visual Matching via Generalized Similarity ...

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In this paper, we present a novel pairwise similarity measure that advances existing models by i) expanding traditional linear projections into affine transformations and ii) fusing affine Mahalanobis distance and Cosine similarity by a data-driven combination.

Cross-Domain Visual Matching via Generalized Similarity ...

Detecting Anomalous Faces with `No Peeking' Autoencoders

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Detecting Anomalous Faces with ‘No Peeking’ Autoencoders Anand Bhattad 1Jason Rock David Forsyth Abstract Detecting anomalous faces has important appli-cations. For example, a system might tell when a train driver is incapacitated by a medical event, and assist in adopting a safe recovery strategy. These applications are demanding, because they

Detecting Anomalous Faces with `No Peeking' Autoencoders

(PDF) Robust representations for face recognition: The ...

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Furthermore, some studies of human face recognition have shown it to be highly tolerant of certain manipulations of the shape. For example, Hole, George, Eaves, and Rasek (2002) demonstrated that familiar face recognition was completely unaVected by distorting the aspect ratio of photographs by up to 2:1, vertical to horizontal.

(PDF) Robust representations for face recognition: The ...

List of atheists in science and technology - Wikipedia

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This is a list of atheists in science and technology.A mere statement by a person that he or she does not believe in God does not meet the criteria for inclusion on this list.Persons in this list are people (living or not) who both have publicly identified themselves as atheists, or have been historically known to be atheists, and whose atheism is relevant to their notable activities or public ...

List of atheists in science and technology - Wikipedia
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