Inlämning av Examensarbete / Submission of Thesis

Satya Mahesh Muddamsetty MEE09:79, pp. 61. ING/School of Engineering, 2009.

The work

Författare / Author: Satya Mahesh Muddamsetty
mahesh_muddamsetty@yahoo.co.in, Smma06@student.bth.se
Titel / Title: Face Alignment using Boosted Appeareance Model (Discriminative Appearance Model)
Abstrakt Abstract:

This thesis explores decriminative face alignment using Boosted Appearance Model (BAM). In this method face alignment is done by maximizing the score of the trained two classifier which learns both correct and incorrect alignment and is able to distinguish correct and incorrect alignment so that the correct alignment gets maximum positve score. During the training stage we trained Point Distribution Model (PDM) which acts as shape model and a boosting based classifier based on Haar like Rectangular Features which we call as Boosted Appearance Model (BAM). This algorithm iteratively updates the shape parameters of the PDM by the well known optimization method known as gradient ascent, such that the classification score is maximized. When we test our algorithm on the images the initial parameters will likely have a negative score and these parameters are updated so that the final parameters will have the maximum positive score this will indicates alignment is finalized. The main applications are tracking, Medical Image Interpretation, Industrial Inspection etc.

Ämnesord / Subject: Signalbehandling - Signal Processing
Medieteknik - Media Technology
Nyckelord / Keywords: Discrminative Appearance Model, Boosted Appearance Model, Image alignment, tracking, object detection

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 12/02/2009
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Mr Tommaso Gritti, Research Scientists, Philips Research, Netherlands
Examinator / Examiner: Mr Mikael Nilsson, Department of Signal Processing
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00
I samarbete med / In co-operation with: Philips Research, Netherlands
Anmärkningar / Comments:

C/o Sandeep Karanamsetty
Västanågatan 26, Linköping-58235
phone no: +46704936869