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1、Computer Vision,Prof. Pei Chen,Are you as smart as a computer?,Are you as smart as a computer?,Vision,Vision is the process of discovering what is present in the world and where it is by looking.,Computer Vision,Computer Vision is the study of analysis of pictures and videos in order to achieve resu
2、lts similar to those as by men.,Black background Two objects One teapot One toy There is a light coming from right One object is shiny the other is not Toy: Consists of 5 layers, in different colors There is a text : Fisher Price The layers are in donut shape Layers are plastic Bottom is wood Teapot
3、: Consists of body and handle Body is metal Handle is ceramic Handle: Dark blue on white Body : golden Reflection of toy on the body,Example,Example,Finding People in images Problem 1: Given an image I Question: Does I contain an image of a person?,“Yes” Instances,“No” Instances,Occlusion,Shading,Sh
4、ading,Recognition,3D model,Recognition,Filter image to find brightness change,Recognition,Fit lines to the raw data measurements,Recognition,“Project” model into image and match lines (with 3D pose),Edge detection,Different parameters,Recognition,Recognition,which model?,Face detection,Mosaics,Mosai
5、c,Mosaic,Context,a car?,Context,a person?,Illusion,Illusion,Illusion,Illusion,Parts and relations,Image Filtering and Enhancing,Linear Filters and Convolution Image Smoothing Edge Detection Pyramids,Image Filtering,Constructing a pyramid by taking every second pixel leads to layers that badly misrepresent the top layer,Smapling and Nyquist frequency,Gaussian filtering,Segmentation,Image Segmentation,Tracking,Structure from motion,Face recognition,The problem,MVU-Maximum variance unfolding,
