Download Face Detection and Face Recognition PowerPoint Presentation

Iframe embed code :

Unable to generate embed code for this presentation.request for embed code @ mail[at]slidesfinder.com

Presentation url :

Home / Science & Technology / Science & Technology Presentations / Face Detection and Face Recognition PowerPoint Presentation

Face Detection and Face Recognition PowerPoint Presentation

PowerPoint is the world's most popular presentation software which can let you create professional Face Detection and Face Recognition powerpoint presentation easily and in no time. This helps you give your presentation on Face Detection and Face Recognition in a conference, a school lecture, a business proposal, in a webinar and business and professional representations.

The uploader spent his/her valuable time to create this Face Detection and Face Recognition powerpoint presentation slides, to share his/her useful content with the world. This ppt presentation uploaded by worldwideweb in Science & Technology ppt presentation category is available for free download,and can be used according to your industries like finance, marketing, education, health and many more.

About This Presentation

worldwideweb

Description : PowerPoint presentation on Face Detection and Face Recognition, download now ppt of Face Detection and Face Recognition

Tags : Face Detection and Face Recognition

Published on : Jan 08, 2015
Views : 5906 | Downloads : 21

Download Now

Share on Social Media

Slide 1 -

Face Recognition: An Introduction

Slide 2 -

Face

Slide 3 -

Face Recognition Face is the most common biometric used by humans Applications range from static, mug-shot verification to a dynamic, uncontrolled face identification in a cluttered background Challenges: automatically locate the face recognize the face from a general view point under different illumination conditions, facial expressions, and aging effects

Slide 4 -

Authentication vs Identification Face Authentication/Verification (1:1 matching) Face Identification/Recognition (1:N matching)

Slide 5 -

www.viisage.com  Access Control Applications www.visionics.com

Slide 6 -

 Video Surveillance (On-line or off-line) Applications Face Scan at Airports www.facesnap.de

Slide 7 -

Why is Face Recognition Hard? Many faces of Madonna

Slide 8 -

Face Recognition Difficulties Identify similar faces (inter-class similarity) Accommodate intra-class variability due to: head pose illumination conditions expressions facial accessories aging effects Cartoon faces

Slide 9 -

Inter-class Similarity Different persons may have very similar appearance Twins Father and son www.marykateandashley.com news.bbc.co.uk/hi/english/in_depth/americas/2000/us_elections

Slide 10 -

Intra-class Variability Faces with intra-subject variations in pose, illumination, expression, accessories, color, occlusions, and brightness

Slide 11 -

Sketch of a Pattern Recognition Architecture Feature Extraction Classification Image (window) Object Identity Feature Vector

Slide 12 -

Example: Face Detection Scan window over image Classify window as either: Face Non-face

Slide 13 -

Detection Test Sets

Slide 14 -

Profile views Schneiderman’s Test set

Slide 15 -

Face Detection: Experimental Results Test sets: two CMU benchmark data sets Test set 1: 125 images with 483 faces Test set 2: 20 images with 136 faces [See also work by Viola & Jones, Rehg, more recent by Schneiderman]

Slide 16 -

Example: Finding skin Non-parametric Representation of CCD Skin has a very small range of (intensity independent) colors, and little texture Compute an intensity-independent color measure, check if color is in this range, check if there is little texture (median filter) See this as a classifier - we can set up the tests by hand, or learn them. get class conditional densities (histograms), priors from data (counting) Classifier is

Slide 17 -

Slide 18 -

Face Detection

Slide 19 -

Face Detection Algorithm Face Localization Lighting Compensation Skin Color Detection Color Space Transformation Variance-based Segmentation Connected Component & Grouping Face Boundary Detection Verifying/ Weighting Eyes-Mouth Triangles Eye/ Mouth Detection Facial Feature Detection Input Image Output Image

Slide 20 -

Canon Powershot

Slide 21 -

Face Recognition: 2-D and 3-D 2-D Face Database 2-D Recognition Data Recognition Comparison Prior knowledge of face class

Slide 22 -

Pose-dependent Algorithms Pose-invariant Pose-dependency Matching features Appearance-based (Holistic) -- Gordon et al., 1995 Feature-based (Analytic) Hybrid Viewer-centered Images -- Lengagne et al., 1996 -- Atick et al., 1996 Object-centered Models -- Yan et al., 1996 -- Zhao et al., 2000 Face representation -- Zhang et al., 2000 PCA, LDA LFA EGBM Taxonomy of Face Recognition

Slide 23 -

Image as a Feature Vector Consider an n-pixel image to be a point in an n-dimensional space, x Rn. Each pixel value is a coordinate of x.

Slide 24 -

Nearest Neighbor Classifier { Rj } are set of training images.

Slide 25 -

Comments Sometimes called “Template Matching” Variations on distance function (e.g. L1, robust distances) Multiple templates per class- perhaps many training images per class. Expensive to compute k distances, especially when each image is big (N dimensional). May not generalize well to unseen examples of class. Some solutions: Bayesian classification Dimensionality reduction

Slide 26 -

Eigenfaces (Turk, Pentland, 91) -1 Use Principle Component Analysis (PCA) to reduce the dimsionality

Slide 27 -

How do you construct Eigenspace? [ ] [ ] [ x1 x2 x3 x4 x5 ] W Construct data matrix by stacking vectorized images and then apply Singular Value Decomposition (SVD)

Slide 28 -

Eigenfaces Modeling Given a collection of n labeled training images, Compute mean image and covariance matrix. Compute k Eigenvectors (note that these are images) of covariance matrix corresponding to k largest Eigenvalues. Project the training images to the k-dimensional Eigenspace. Recognition Given a test image, project to Eigenspace. Perform classification to the projected training images.

Slide 29 -

Eigenfaces: Training Images [ Turk, Pentland 01

Slide 30 -

Eigenfaces Mean Image Basis Images

Slide 31 -

Difficulties with PCA Projection may suppress important detail smallest variance directions may not be unimportant Method does not take discriminative task into account typically, we wish to compute features that allow good discrimination not the same as largest variance

Slide 32 -

ppt slide no 32 content not found

Slide 33 -

Fisherfaces: Class specific linear projection An n-pixel image xRn can be projected to a low-dimensional feature space yRm by y = Wx where W is an n by m matrix. Recognition is performed using nearest neighbor in Rm. How do we choose a good W?

Slide 34 -

PCA & Fisher’s Linear Discriminant Between-class scatter Within-class scatter Total scatter Where c is the number of classes i is the mean of class i | i | is number of samples of i..

Slide 35 -

PCA & Fisher’s Linear Discriminant PCA (Eigenfaces) Maximizes projected total scatter Fisher’s Linear Discriminant Maximizes ratio of projected between-class to projected within-class scatter 1 2

Slide 36 -

Four Fisherfaces From ORL Database

Slide 37 -

Eigenfaces and Fisherfaces

Slide 38 -

ppt slide no 38 content not found

Frequently Asked Questions

> About SlidesFinder?

Slidesfinder is a website that allows users to upload and share their PowerPoint presentations online. It provides a platform for individuals and businesses to share their ideas and knowledge through presentations, and for others to view and download these presentations for educational or professional purposes.
Slidesfinder offers a wide range of presentation topics and categories, including business, education, science, technology, health, and more. Users can also search for presentations using keywords, tags, or by category. The website provides tools to create professional presentations with rich media, animations, and graphics.

One of the key features of Slidesfinder is its user-friendly interface, which allows users to easily upload, view, and share presentations. Users can also embed their presentations in their websites or blogs using the website's embed code feature.
Slidesfinder also offers premium services, such as the ability to create private presentations and to download presentations in high-quality formats. However, the basic features of Slidesfinder are free to use, making it accessible to anyone who wants to share their ideas and knowledge through presentations.

> How do I register with SlidesFinder?

Go to registration page (you can see signup link on top of website page) https://www.slidesfinder.com/signup . If you have facebook/gmail account them just click on SIGN IN WITH FACEBOOK OR SIGN IN WITH GOOGLE button, by this you will be a registered member of slidesfinder without filling any form, required detail automatically will be fatch from your account. If you do not a Facebook account, then click on "Signup". Fill all required fields and you will be a registered member of slidesfinder.

> Is slidesfinder account confirmation is mandatory?

Yes it is mandetory to active your account to login.

> Do I need to signup/login on SlidesFinder before uploading a PowerPoint presentation?

Yes, you need to login with your account before uploading presentation. Your username will be displayed on your uploaded presentation. Your registered email id is needed for sending your stats of uploaded presentation.

Slidesfinder is a sharing website for PowerPoint presentations search and share. Find your interest in the form of powerpoint presentations on slidesfinder and save your valuable time . On Slidesfinder you get presentations from our huge library of professional ppt presentations. We believe in making your search INFORMATIVE and FUN. Find your best ppt presentation from a pool of PowerPoint presentations stacked under important industry categories like business & management, heath & Wellness,eduction & training etc. We provide unique informative PowerPoint presentation for marketers, presenters and educationists. These professional PowerPoint presentations are uploaded by professionals from across numerous industry segments.These ppt presentations are available for FREE download.

Not just finding your interest, but facilitate you broadcast your interest. We have created this platform for easy sharing of PowerPoint presentations, ensuring that these presentations get maximum exposure. Create your slidesfinder account and upload PowerPoint presentations for free, share on social media platforms and BUILD YOUR CROWD WITH PRESENTATION !!

The Great Buddha says, "Share your knowledge.It’s a way to achieve immortality"! So, start sharing knowledge and we are here to make that immortal !!

Re-productivity of content are not allowed. Without prior written permission from author, commercial use of any content is illegal.