• <ins id="pjuwb"></ins>
    <blockquote id="pjuwb"><pre id="pjuwb"></pre></blockquote>

    <noscript id="pjuwb"></noscript>
          <sup id="pjuwb"><pre id="pjuwb"></pre></sup>

            <dd id="pjuwb"></dd>
            <abbr id="pjuwb"></abbr>
            

    
            

            




            







												


        


            


            

            

            




            
	
					
	
            
		
            
			CSE/EE486 Computer Vision I
		
            
		
            http://www.cse.psu.edu/~rtc12/CSE486/
            http://www.cse.psu.edu/~rtc12/CSE486/lecture12.pdf
            https://stackoverflow.com/questions/10163034/how-can-i-calculate-camera-position-by-comparing-two-photographs
            Background
            I have taught this course several times (almost every semester). I am always fiddling around with the course content, so the material covered and the order of presentation changes from semester to semester. Below are the lecture notes from Fall 2007. 

            In addition to slides that I created, I borrowed heavily from other lecturers whose computer vision slides are on the web. I used to put an attribution at the bottom of each slide as to where and who it came from. However, that led to cluttered slides, and was distracting. So, I dropped that format. Instead, I'm telling you up-front that a lot of the slides in the lectures below did not originate from me. Here is a partial list of the main sources that I can remember: Octavia Camps, Forsyth and Ponce, David Jacobs, Steve Seitz, Chuck Dyer, Martial Hebert. If I forgot you, and you see your slides here, well... thanks. And drop me a line so I can add your name to the list. 

            By the same token, if you are putting together a computer vision course, and want to use some of my slides, go right ahead. You are welcome to them, since the main goal here is to improve the quality of computer vision education everywhere. To quote Thomas Jefferson: "He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening me. That ideas should freely spread from one to another over the globe, for the moral and mutual instruction of man, and improvement of his condition, seems to have been peculiarly and benevolently designed by nature, when she made them, like fire, expansible over all space, without lessening their density at any point, and like the air in which we breathe, move, and have our physical being, incapable of confinement or exclusive appropriation." Jefferson was one awesome dude.
            Fall 2007 Lecture Notes
            Detailed List of Topics Covered in Fall 2007 

            Lecture 01: Intro to Computer Visionslides6 per page
            Lecture 02: Intensity Surfaces and Gradientsslides6 per page
            Lecture 03: Linear Operators and Convolutionslides6 per page
            Lecture 04: Smoothingslides6 per page
            Lecture 05: Edge Detectionslides6 per page
            Lecture 06: Corner Detectionslides6 per page
            Lecture 07: Template Matchingslides6 per page
            Lecture 08: Introduction to Stereoslides6 per page
            Lecture 09: Stereo Algorithmsslides6 per page
            Lecture 10: Image Pyramidsslides6 per page
            Lecture 11: LoG Edge and Blob Findingslides6 per page
            Lecture 12: Camera Projection (Extrinsics)slides6 per page
            Lecture 13: Camera Projection (Intrinsics)slides6 per page
            Lecture 14: Parameter Estimation; Image Warpingslides6 per page
            Lecture 15: Robust Estimation: RANSACslides6 per page
            Lecture 16: Planar Homographiesslides6 per page
            Lecture 17: Stabilization and Mosaicingslides6 per page
            Lecture 18: Generalized Stereoslides6 per page
            Lecture 19: Essential and Fundamental Matricesslides6 per page
            Lecture 20: The 8-point algorithmslides6 per page
            Lecture 21: Stereo Reconstructionslides6 per page
            Lecture 22: Camera Motion Fieldslides6 per page
            Lecture 23: Optic Flowslides6 per page
            Lecture 24: Video Change Detectionslides6 per page
            Lecture 25: Structure From Motion (SFM)slides6 per page
            Lecture 26: Color and Lightslides6 per page
            Lecture 27: Application: Skin Colorslides6 per page
            Lecture 28: Intro to Trackingslides6 per page
            Lecture 29: Video Tracking: Mean-shiftslides6 per page
            Lecture 30: Video Tracking: Lucas-Kanadeslides6 per page
            Lecture 31: Object Recognition : SIFT Keysslides6 per page
            Lecture 32: Object Recognition : PCA / Eigenfacesslides6 per page
            
		
            
			posted on 2017-11-17 13:46 zmj 閱讀(754) 評論(0)  編輯 收藏 引用  
		
            
	
            
	
	





            
	    
    




            






            

				

            


    
    







            
	   
	



久久精品蜜芽亚洲国产AV|
欧美精品一区二区精品久久|
亚洲国产综合久久天堂|
亚洲国产精品综合久久一线|
久久精品国产99久久无毒不卡|
国产一区二区精品久久|
亚洲精品99久久久久中文字幕
|
日韩欧美亚洲综合久久|
久久精品国产亚洲AV香蕉|
久久综合给合综合久久|
99久久精品午夜一区二区|
久久久人妻精品无码一区|
精品久久久噜噜噜久久久
|
99久久夜色精品国产网站|
亚洲午夜久久久久妓女影院|
久久www免费人成精品香蕉|
色狠狠久久AV五月综合|
人妻系列无码专区久久五月天|
91精品国产综合久久精品|
18岁日韩内射颜射午夜久久成人|
久久久精品日本一区二区三区|
99久久免费国产精精品|
色综合久久久久综合体桃花网
|
久久久久久综合网天天|
久久综合狠狠综合久久97色|
91精品国产综合久久香蕉|
久久久久久久久久久久中文字幕|
久久无码国产专区精品|
一本久久综合亚洲鲁鲁五月天亚洲欧美一区二区
|
久久婷婷午色综合夜啪|
日韩久久久久中文字幕人妻|
久久久久亚洲AV无码去区首|
久久精品国产精品亜洲毛片|
精品久久国产一区二区三区香蕉
|
国产精品丝袜久久久久久不卡
|
久久国产免费直播|
亚洲精品无码成人片久久|
久久综合香蕉国产蜜臀AV|
MM131亚洲国产美女久久|
久久99国产精一区二区三区|
久久综合久久综合九色|