1 / 7

Face Detection

Face Detection. Amie Chu Jason Lee. Intro & Outline. Choosing Our Algorithm Image Processing Phase I Image Processing Phase II Results Conclusion (hold our breath!). ee368: Amie Chu & Jason Lee. Eigenfaces & DFFS. Neural Networks. Y-Phase. MRC. Edge Orientation Matching.

tamah
Télécharger la présentation

Face Detection

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. Face Detection Amie Chu Jason Lee

  2. Intro & Outline • Choosing Our Algorithm • Image Processing Phase I • Image Processing Phase II • Results • Conclusion (hold our breath!) ee368: Amie Chu & Jason Lee

  3. Eigenfaces & DFFS Neural Networks Y-Phase MRC Edge Orientation Matching Edge Detection & HT Fisher Linear Discriminant Support Vector Machine So many algorithms... ...the CHOSEN ONE Color Segmentation Matched filter ee368: Amie Chu & Jason Lee

  4. Phase I • Acquire Training Set • Color Segmentation • YIQ color space • Image Segmentation • morphological ops • outputs are individual faces/non-faces • Colour ee368: Amie Chu & Jason Lee

  5. small p Filter Stage 1 small size Filter Stage 2 small p Phase II Clutter Rejection Filtering with Decision Feedback ee368: Amie Chu & Jason Lee

  6. Results • detect ALL faces • NO repeat detections • NO false detections • 30 second runtime ee368: Amie Chu & Jason Lee

  7. Conclusion Simple algorithms work best ee368: Amie Chu & Jason Lee

More Related