1 / 7

Facial Attribute Detection: An Overview of Feature Extraction and Training

This report covers annotating 25K images, feature extraction methods like HOG, LBP, and Gabor, and initiating face alignment for attribute detection training. The Chehra face alignment technique is highlighted, along with training binary attribute detectors using 4K images. Results from testing on 8K images are discussed, with plans for aligning faces, extracting features, and training detectors in the upcoming week.

malaya
Télécharger la présentation

Facial Attribute Detection: An Overview of Feature Extraction and Training

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Week 7 Report Misrak Seifu, WesnaLalanne Mentor: Mahdi M. Kalayeh

  2. 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

  3. Feature Extractions • Hog • Lbp • Gabor Local features Holistic feature

  4. 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.

  5. Train attribute Detector • Features extracted only from faces • No alignment were used • Binary attribute detector were trained • ~4K training images

  6. Results of attribute detectors • Tested on a subset of data (~8K images)

  7. 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

More Related