'Skin detection' presentation slideshows

Recognition Part I

1.06k views • 106 slides

Computational Photography

Computational Photography. Tamara Berg Features. Representing Images. Keep all the pixels!. Pros? Cons?. 2 nd Try. Compute average pixel. Pros? Cons?. 3rd Try. Photo by: marielito. Represent the image as a spatial grid of average pixel colors Pros? Cons?. QBIC system.

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Object recognition (part 1)

664 views • 66 slides

Recognition

653 views • 63 slides

SFM under orthographic projection

SFM under orthographic projection. Trick Choose scene origin to be centroid of 3D points Choose image origins to be centroid of 2D points Allows us to drop the camera translation:. orthographic projection matrix. 3D scene point. image offset. 2D image point.

733 views • 48 slides

So far focused on 3D modeling

So far focused on 3D modeling. Multi-Frame Structure from Motion: Multi-View Stereo. Unknown camera viewpoints. Today. Recognition. Today. Recognition. Recognition problems. What is it? Object detection Who is it? Recognizing identity What are they doing? Activities

538 views • 45 slides

Probabilistic Skin Detection

585 views • 42 slides

Recognition

521 views • 42 slides

Lecture 14: Introduction to Recognition

457 views • 40 slides

Announcements

404 views • 40 slides

Histograms

368 views • 36 slides

Where are we?

Where are we?. We have covered: cross-correlation and convolution edge and corner detection resampling seam carving segmentation Project 1b was due today Project 2 (eigenfaces) goes out later today - to be done individually. Recognition. Readings

334 views • 33 slides

Computer Vision I

418 views • 28 slides

Announcements

275 views • 27 slides

By Using Statistical Models to Detect the Characteristics of Human Face ??????????? ???????

By Using Statistical Models to Detect the Characteristics of Human Face ??????????? ???????. ??? ?????? ??????. Outline. Introduction Statistical Detection Models Acquisition of Human Face Images Skin Detection Ocular Region Detection Experimental Results ROC Evaluation Conclusions

345 views • 22 slides

Presented by : Ahmed Mesbah Ahmed El- taybany Mentor : Dr. Marwan Torki

Automated Lip reading technique for people with speech disabilities by converting identified visemes into direct speech using image processing and machine learning techniques. Presented by : Ahmed Mesbah Ahmed El- taybany Mentor : Dr. Marwan Torki. Problem. Statistics.

471 views • 20 slides

[ cvPONG ]

285 views • 16 slides

Security Tracker

Security Tracker. By Jered Olckers. SUPERVISOR: MR. J. CONNAN. Introduction. Project Overview The main purpose of system is to track an object across multiple frames using fixed input source . High Level & Low Level Design. Interface User Interface Specification Components

210 views • 13 slides

Spectral LWIR Imaging for Remote Face Detection

Spectral LWIR Imaging for Remote Face Detection. Dalton Rosario U.S. Army Research Laboratory IEEE IGARSS, Vancouver, Canada 29 July 2011. Outline. Unrelated Operational Concept A Difficult Target Detection Problem Proposed Algorithmic Framework Experimental Results

287 views • 13 slides

HUMAN FACE DETECTION

PRESENTED BY: ANIL MANDAL(508) PAWAL ADHIKARI(522) PRADIP G.C(523) SABIN KISHWOR MAINALI(534). HUMAN FACE DETECTION. OBJECTIVES AND GOALS:. Detect Human face from the image inputted Multiple face detection in single image. PROJECT OVERVIEW. Based on Skin Color directed face detection.

414 views • 11 slides