PPT-Computer Vision

CS 776 Spring 2014 Cameras amp Photogrammetry 3 Prof Alex Berg Slide credits to many folks on individual slides Cameras amp Photogrammetry 3 http wwwmathtudresdende DMV2000ImpressPIC003jpg. Computer Vision Lecture 16: Region Representation. 1. Region Detection. The . split-and-merge algorithm. is a straightforward way of finding a segmentation of an image that provides homogeneity within regions and non-homogeneity of neighboring regions.. Chapter 14 . The pinhole camera. Structure. Pinhole camera model. Three geometric problems. Homogeneous coordinates. Solving the problems. Exterior orientation problem. Camera calibration. 3D reconstruction. What is AI?. What are the Major Challenges?. What are the Main Techniques?. Where are we failing, and why?. Step back and look at the Science. Step back and look at the History of AI. What are the Major Schools of Thought?. Computer Vision Lecture 16: Texture. 1. Our next topic is…. Texture. November 6, 2014. Computer Vision Lecture 16: Texture. Computer Vision Lecture 12: Texture. 1. Signature. Another popular method of representing shape is called the . signature. .. Introduction to Artificial Intelligence Lecture 24: Computer Vision IV. 1. Another Example: Circle Detection. Task:. Detect any . circular. objects in a given image.. Chapter . 2 . Introduction to probability. Please send errata to s.prince@cs.ucl.ac.uk. Random variables. A random variable . x. denotes a quantity that is uncertain. May be result of experiment (flipping a coin) or a real world measurements (measuring temperature). Chapter 19 . Temporal models. 2. Goal. To track object state from frame to frame in a video. Difficulties:. Clutter (data association). One image may not be enough to fully define state. Relationship between frames may be complicated. Walter J. . Scheirer. , . Samuel . E. . Anthony, Ken Nakayama & David . D. . Cox. IEEE Transactions on Pattern Analysis and Machine Intelligence (2014), 36(8), 1679-1686. Presented by: Talia Retter. Ronen Basri, Michal Irani, Shimon Ullman. Teaching Assistants. Tal Amir, Sima Sabah, . Netalee. Efrat, . Nati . Ofir, . Yuval . Bahat, . Itay Kezurer.. Misc.... Course website – look under: . Industrial Maintenance Monitoring of critical installations Waste combustion Pipeline monitoring Benefits & FeaturesUltra-compact industrial LWIR cameraAdvanced on-board image processi The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand About the class. COMP 648: Computer Vision Seminar. Instructor: . Vicente. . Ordóñez. (Vicente . Ordóñez. Román). Website: . https://www.cs.rice.edu/~vo9/cv-seminar. Location: Zoom – Keck Hall 101. Children’s Vision for Students. Your eyes…. Are about as big as a ping-pong ball. Sit in a little hollow area in your skull (called the eye socket). Are protected at the front by the eyelid. Are kept clean by blinking.