PPT-Marico Face-off

Case study 2 Parachute Advansed Jasmine Team 3 Broomsticks Ankita Dasgupta IIM Lucknow Geetanjali GulatiIIM Lucknow Navya JainIIM Lucknow Parachute Advanced Jasmine Brand Personification Head . The arbitrator Joseph Miller Michael Osborn Jaclyn . Duket. . Ohn’Jay. Walker. Undergraduate Research. Our thoughts about research in Human Computer Interaction-Design…. Very engaging and large field full of online interactions as well as user based studies that can be carried out. Face to face . Romans 12:1-2 So then my brothers and sisters, because of God’s great mercy to us I appeal to you: offer yourselves as a living sacrifice to God, dedicated to his service and pleasing to him. This is the true worship that you should offer. . MA FACE (Massachusetts Fatality Assessment and Control Evaluation) seeks to prevent work fatalities by identifying and investigating these incidents and developing prevention strategies for those wh 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. Team 0004. IMT Ghaziabad. Problem statement. Problem at hand is that new age girls now consider oiling as the gone thing and for the LS of the society. So, we suggest 4 ways in order to make the new age . . hongliang. . xue. Motivation. . Face recognition technology is widely used in our lives. . Using MATLAB. . ORL database. Database. The ORL Database of Faces. taken between April 1992 and April 1994 at the Cambridge University Computer . ANESH. N. EERAJ . V. . K. RISHNAN. M. ANISH . G. UPTA. S. OMBIT . R. OY. CORPORATE. S. UPER. MEN. TEAM. DMS. IIT DELHI. 2. ND. . CASE STUDY. Suggestions for Marico to address the Key Touch Points in the Target Group. Contents. Set up Stalls of PAJ at Colleges Fests and Malls. App to measure hair shine. Fashion . Blogs, . Y. outube. channel promoting . the product. Science . of Shine Message . communication. Shailesh J Mehta school of Management, IIT Bombay. (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/. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Face detection. Where are the faces? . Face Detection. What kind of features?. Action: The procerus helps to pull that part of the skin between the eyebrows downwards. Procerus is supplied by temporal and zygomatic branches.!Its contraction can produce transverse wrinkles. The 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 . colour. variants of . Set Wet. , with the designated area for the photo, name & Unique code   . -          Marico will provide database of 5000 customers (Unique Code, Name, Photograph & .