week 7 report n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Week 7 Report PowerPoint Presentation
Download Presentation
Week 7 Report

Loading in 2 Seconds...

play fullscreen
1 / 7

Week 7 Report - PowerPoint PPT Presentation


  • 73 Views
  • Uploaded on

Week 7 Report. Misrak Seifu, Wesna Lalanne Mentor: Mahdi M . Kalayeh. Overview of week 7. Annotating 25K images Feature extraction Hog Lbp Gabor Beginning the face alignment Training attribute detectors Testing detectors on a subset of data. Feature Extractions. Hog Lbp Gabor.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Week 7 Report' - malaya


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
week 7 report

Week 7 Report

Misrak Seifu, WesnaLalanne

Mentor: Mahdi M. Kalayeh

overview of week 7
Overview of week 7
  • Annotating 25K images
  • Feature extraction
    • Hog
    • Lbp
    • Gabor
  • Beginning the face alignment
  • Training attribute detectors
  • Testing detectors on a subset of data
feature extractions
Feature Extractions
  • Hog
  • Lbp
  • Gabor

Local features

Holistic feature

chehra face alignment
Chehra Face Alignment
  • Detects 66 facial landmark points
  • Uses ipar-CLR method to continuously update the generic model.
  • Ipar-CLR: incrementally adding new training samples and updating the cascade of regression functions.
train attribute detector
Train attribute Detector
  • Features extracted only from faces
  • No alignment were used
  • Binary attribute detector were trained
  • ~4K training images
results of attribute detectors
Results of attribute detectors
  • Tested on a subset of data (~8K images)
plan for week 8
Plan for week 8

Aligning detected faces

Feature extraction from aligned faces

Feature extraction from non-face parts of image

Extracting local features from facial landmarks

Train attribute detector