{"title":"看到物理,或:物理是为了预测[计算机视觉]","authors":"M. Brand, P. Cooper, L. Birnbaum","doi":"10.1109/PBMCV.1995.514679","DOIUrl":null,"url":null,"abstract":"We describe how knowledge of the physics of the scene itself is\nimportant to computer vision. High-level knowledge of scene physics can\nhelp programs see the world, and programs that see and understand this\nway are useful for planning plan scene interactions. We illustrate these\npoints with two of our most recent knowledge-intensive vision systems.\nOne uses knowledge of physics and function to understand noisy and\nambiguous images of gear-train machines; i.e. to report what the machine\ndoes. The other uses physical knowledge to guide a robotic eye-hand\nsystem to pick up a mug of coffee by its handle","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Seeing physics, or: physics is for prediction [computer vision]\",\"authors\":\"M. Brand, P. Cooper, L. Birnbaum\",\"doi\":\"10.1109/PBMCV.1995.514679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe how knowledge of the physics of the scene itself is\\nimportant to computer vision. High-level knowledge of scene physics can\\nhelp programs see the world, and programs that see and understand this\\nway are useful for planning plan scene interactions. We illustrate these\\npoints with two of our most recent knowledge-intensive vision systems.\\nOne uses knowledge of physics and function to understand noisy and\\nambiguous images of gear-train machines; i.e. to report what the machine\\ndoes. The other uses physical knowledge to guide a robotic eye-hand\\nsystem to pick up a mug of coffee by its handle\",\"PeriodicalId\":343932,\"journal\":{\"name\":\"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PBMCV.1995.514679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PBMCV.1995.514679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Seeing physics, or: physics is for prediction [computer vision]
We describe how knowledge of the physics of the scene itself is
important to computer vision. High-level knowledge of scene physics can
help programs see the world, and programs that see and understand this
way are useful for planning plan scene interactions. We illustrate these
points with two of our most recent knowledge-intensive vision systems.
One uses knowledge of physics and function to understand noisy and
ambiguous images of gear-train machines; i.e. to report what the machine
does. The other uses physical knowledge to guide a robotic eye-hand
system to pick up a mug of coffee by its handle