PPT-STC Update Fall 2016 This PowerPoint is in lieu of a day of face-to-face training. Please

there are updates from Spring 2016 of which you need to be aware Contact us with any questions LaurieCooperdoevirginiagov Smclaughlinpgsk12vaus 5406043935 8047323803 ext. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. The arbitrator Preparing for the Face to Face Training:. Instructions & Communication . November 2015. Module Summary. In this module . y. ou will learn about:. Building a library for yourself as an OP Assessor . State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. University of Oxford. 24. th. . May 2012. Omkar M. Parkhi, Andrea . Vedaldi. and Andrew . Zisserman. Overview. People. “Barack Obama”. “George Bush”. “Courtney Cox”. Ranked Shots. Textual Queries. ATIS Spiking Output. Face Detection. Task: “Is there any part of a face present or not?. (not trying to localize face or identify person). NO. YES. NO. YES. ATIS data collection. Training data: 4 subjects (static cam, . Joseph Miller Michael Osborn Jaclyn . Duket. . Ohn’Jay. Walker. Date. Description. Overview. 2/1/10-2/7/10. Week 1: Introduction to program, research. List several interesting topics. 2/8/10-2/14/10. Image Understanding . Xuejin Chen. Face . Recogntion. Good websites. http://www.face-rec.org/. Eigenface. [. Turk & . Pentland. ]. Image Understanding, Xuejin Chen . Eigenface. Projecting a new image into the subspace spanned by the . Feng. . Cen. Outline. R. ecent . advances . in face recognition (FR). Our research work on occluded FR. Face Recognition: applications. Biometrics / access control. No action required. Scan many people at once. (Courtesy . Boris . Babenko. ). slides adapted from Svetlana . Lazebnik. Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. C ourage R E thics D edication - CRED ibly serving the public safety of New Mexico G ARA BUILDING TRAINING Initial Volunteer Training for New Volunteers Only: A ll new volunte ers and/or volunteers Linda Shapiro. ECE P 596. 1. What’s Coming. Review of . Bakic. flesh . d. etector. Fleck and Forsyth flesh . d. etector. Review of Rowley face . d. etector. Overview of. . Viola Jones face detector with . EE/CSE 576. 1. What’s Coming. Review of . Bakic. flesh . d. etector. Fleck and Forsyth flesh . d. etector. Details of Rowley face . d. etector. Review of the basic . AdaBoost. algorithm . The Viola Jones face . AdaBoost. Linda Shapiro. CSE 455. 1. What’s Coming. The basic . AdaBoost. algorithm (next). The Viola Jones face . d. etector features. The modified . AdaBoost. algorithm that is used in Viola-Jones face detection.