• <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(729) 評論(0)  編輯 收藏 引用  
		
            
	
            
	
	





            
	    
    




            



            


            

	
            
		
		
            只有注冊用戶登錄后才能發(fā)表評論。
            
		
            
		
				
		
		
		
            
		
            			
		
		
		
		
            
		
            
			
		
            
		
            
			
		
            
		
            
			
            網(wǎng)站導(dǎo)航:
			博客園  
			IT新聞  
			BlogJava  			
			博問  
			Chat2DB  
			管理
			
            		
		
            
		
            
			
				

            


            

            		
		
            
	
            	

            



            

				

            


    
    







            
	   
	



成人资源影音先锋久久资源网|
欧美日韩精品久久久久
|
久久人人爽人人人人爽AV|
久久精品中文字幕大胸|
久久国产色AV免费看|
久久国产乱子伦精品免费午夜|
亚洲日韩欧美一区久久久久我|
亚洲欧美日韩久久精品第一区|
精品久久久久久久|
日韩精品久久久久久久电影|
久久99精品久久久久久久不卡
|
日本三级久久网|
亚洲日本va午夜中文字幕久久|
久久成人国产精品|
久久无码国产专区精品|
日本精品久久久中文字幕|
国内高清久久久久久|
久久精品成人|
久久亚洲精品中文字幕三区|
久久国产欧美日韩精品|
国产免费久久精品99re丫y|
久久久久久a亚洲欧洲aⅴ|
人妻久久久一区二区三区|
四虎国产精品免费久久|
一级做a爰片久久毛片16|
精品熟女少妇a∨免费久久|
久久狠狠爱亚洲综合影院|
亚洲精品无码久久毛片|
久久久久亚洲av成人无码电影|
久久精品国产清高在天天线|
一本久道久久综合狠狠爱|
热99RE久久精品这里都是精品免费
|
国产精品一久久香蕉国产线看观看
|
久久99国产综合精品|
久久精品国产久精国产一老狼|
久久免费视频6|
久久精品国产亚洲AV不卡|
久久精品国产亚洲一区二区三区|
亚洲国产精品人久久|
久久免费高清视频|
久久er国产精品免费观看8|