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Enrique G. Ortiz | Symphonic Vision

Datasets & Code. Face Recognition for Web-Scale Datasets. Face-tagging, a popular photo sharing feature, is often tedious and time-consuming, especially for people with large amounts of images. In our preliminary work, we explore several face recognition techniques and their application to real-world, facial image data gathered from Facebook. Below are several items accessible on my site. Throughout the course of my graduate studies I have had the privilege of working on many different projects ranging f...

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Enrique G. Ortiz | Symphonic Vision | enriquegortiz.com Reviews
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Datasets & Code. Face Recognition for Web-Scale Datasets. Face-tagging, a popular photo sharing feature, is often tedious and time-consuming, especially for people with large amounts of images. In our preliminary work, we explore several face recognition techniques and their application to real-world, facial image data gathered from Facebook. Below are several items accessible on my site. Throughout the course of my graduate studies I have had the privilege of working on many different projects ranging f...
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1 resume/cv
2 research
3 action recognition
4 semi supervised
5 face recognition
6 facebook face recognition
7 video face recognition
8 parent offspring resemblance
9 undergraduate
10 nanoparticle preparation
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resume/cv,research,action recognition,semi supervised,face recognition,facebook face recognition,video face recognition,parent offspring resemblance,undergraduate,nanoparticle preparation,molecular dynamic simulations,intrusion detection,outlier detection
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Enrique G. Ortiz | Symphonic Vision | enriquegortiz.com Reviews

https://enriquegortiz.com

Datasets & Code. Face Recognition for Web-Scale Datasets. Face-tagging, a popular photo sharing feature, is often tedious and time-consuming, especially for people with large amounts of images. In our preliminary work, we explore several face recognition techniques and their application to real-world, facial image data gathered from Facebook. Below are several items accessible on my site. Throughout the course of my graduate studies I have had the privilege of working on many different projects ranging f...

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enriquegortiz.com enriquegortiz.com
1

New Website | Enrique G. Ortiz

http://enriquegortiz.com/wordpress/enriquegortiz/2013/02/24/new-website

Datasets & Code. Face Recognition for Web-Scale Datasets. A couple of months ago I deployed my newly designed website. It serves various purposes:. Dissemination of my research findings, code, and data. Sharing of coding projects for the benefit others. Post interesting tools and findings as I continue my research efforts. Receive feedback from the community. My hope is that it will benefit the research community positively and provide a natural location for the sharing of ideas. February 24, 2013.

2

About Me | Enrique G. Ortiz

http://enriquegortiz.com/wordpress/enriquegortiz/about-me

Datasets & Code. Face Recognition for Web-Scale Datasets. When beginning my doctoral studies, my advisor posed the question, Where can we apply Computer Vision on the Internet? I quickly remembered that I hated ‘tagging’ my friends in photo albums, beginning my exploration of Face Recognition methods for large, real-world datasets. I am a curious individual, looking for ways to use our computing resources to enhance the way we live. At the University of Central Florida. Datasets & Code.

3

Blog | Enrique G. Ortiz

http://enriquegortiz.com/wordpress/enriquegortiz/category/blog

Datasets & Code. Face Recognition for Web-Scale Datasets. Apologies, but no results were found for the requested archive. Perhaps searching will help find a related post. February 24, 2013. I am currently a PhD student in the Center for Research in Computer Vision. At the University of Central Florida. Specializing in Computer Vision under the mentorship of Dr. Mubarak Shah. For more information on my work visit my Research Projects. Datasets & Code.

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crcv-web.eecs.ucf.edu crcv-web.eecs.ucf.edu

CRCV | Center for Research in Computer Vision at the University of Central Florida

http://crcv-web.eecs.ucf.edu/index.php

Human Action and Activity Recognition. High Level Computer Vision. Object Detection and Scene Segmentation. Exploiting Multiple View Data for Tracking, Reconstruction and Recognition. Video Categorization, Retrieval and Temporal Segmentation. K-Means Algorithms for Data Clustering. CLIF Data Set Ground Truth. Tracking in High Density Crowds. Fire Detection in Video Sequences. Honors in the Major Theses. Computer Vision Video Lectures. View our project pages here. Detecting Humans in Dense Crowd Images.

crcv.ucf.edu crcv.ucf.edu

CRCV | Center for Research in Computer Vision at the University of Central Florida

http://www.crcv.ucf.edu/index.php

Human Action and Activity Recognition. High Level Computer Vision. Object Detection and Scene Segmentation. Exploiting Multiple View Data for Tracking, Reconstruction and Recognition. Video Categorization, Retrieval and Temporal Segmentation. K-Means Algorithms for Data Clustering. CLIF Data Set Ground Truth. Tracking in High Density Crowds. Fire Detection in Video Sequences. Honors in the Major Theses. Computer Vision Video Lectures. View our project pages here. Detecting Humans in Dense Crowd Images.

briancbecker.com briancbecker.com

Facebook Face Recognition – Brian C. Becker

http://www.briancbecker.com/blog/projects/facebook-face-recognition

Brian C. Becker. This page describes some of my earlier work documented in my FB2008 paper where we analyze standard face recognition techniques with application to automatically tagging friends on Facebook:. B C Becker, E. G. Ortiz. “. Evaluation of Face Recognition Techniques for Application to Facebook. 8220; IEEE International Conference on Automatic Face and Gesture Recognition 2008. And I have been applying face recognition. The C OpenCV Face Extractor. And the MATLAB Face Recognition Evaluator.

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Enrique G. Ortiz | Symphonic Vision

Datasets & Code. Face Recognition for Web-Scale Datasets. Face-tagging, a popular photo sharing feature, is often tedious and time-consuming, especially for people with large amounts of images. In our preliminary work, we explore several face recognition techniques and their application to real-world, facial image data gathered from Facebook. Below are several items accessible on my site. Throughout the course of my graduate studies I have had the privilege of working on many different projects ranging f...

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