数字图像处理第一章 （参考）.pptVIP

A terrible death’s head? …. A young girl. What do you find in the picture? If we have the model. She is sad? She is happy. How to describe these images? The moonlight, the love story, the romantic… Although there are complete different content in the three pictures, but may have similar impression. In fact, we can do very little for image understanding. But now we talk about how to computer to get more things, that is called “intelligence”. * woman,JohnLewis,广告 英国百货公司John Lewis广告一则。这则名为“女人（Woman）”的广告开始于小女孩的襁褓时代，在摄影机的变换间——女孩结婚、生子、衰老——掠过了这简单却温馨的一生。不过，用短短1分半的时间就讲完我们这几十年的一辈子，观后觉得有点怅然。\r\n\r\n \r\n\r\n　　P.S.歌曲来自Billy Joel的《Shes Always a Woman》。 * * * * * * * * * * * * * * * * * * * * * * * * * Applications of computer vision For more information on the computer vision industry:http://www.cs.ubc.ca/spider/lowe/vision.html Challenges: viewpoint variation Michelangelo 1475-1564 slide credit: Fei-Fei, Fergus Torralba Challenges: illumination image credit: J. Koenderink Challenges: scale slide credit: Fei-Fei, Fergus Torralba Challenges: deformation Xu, Beihong 1943 slide credit: Fei-Fei, Fergus Torralba Challenges: occlusion Magritte, 1957 slide credit: Fei-Fei, Fergus Torralba Challenges: background clutter Challenges: object intra-class variation slide credit: Fei-Fei, Fergus Torralba Challenges: local ambiguity slide credit: Fei-Fei, Fergus Torralba Challenges or opportunities? Images are confusing, but they also reveal the structure of the world through numerous cues Our job is to interpret the cues! Image source: J. Koenderink Depth cues: Linear perspective Depth cues: Aerial perspective Depth ordering cues: Occlusion Source: J. Koenderink Shape cues: Texture gradient Shape and lighting cues: Shading Source: J. Koenderink Position and lighting cues: Cast shadows Source: J. Koenderink Grouping cues: Similarity (color,texture,proximity) Grouping cues: “Common fate” Image credit: Arthus-Bertrand (via F. Durand) Bottom line Perception is an inherently ambi