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-====== Finding Objects in Cluttered Scenes for Home Robotics ======
-**Jim Little**\\
-**Computer Science**\\
-**University of British Columbia**
-**Tuesday April 24 2012, 14:15-15:30**, HS D (Viktor-Franz-Hess-Haus)
-We want computers and robots to observe us and know who we are and
-what we are doing, and to understand the objects and tasks in our
-world, both at work and in the home. We have built systems that enable
-mobile robots to find objects using visual cues and learn about shared
-workspaces.
-We've demonstrated these abilities on Curious George, our
-visually-guided mobile robot that has competed and won the Semantic
-Robot Vision Challenge at AAAI (2007), CVPR (2008) and ISVC (2009), in
-a completely autonomous visual search task. In the SRVC visual
-classifiers are learned from images gleaned from the Web. Challenges
-include poor image quality, badly labeled data and confusing semantics
-(e.g., synonyms). Clustering of training data, image quality analysis,
-and viewpoint-guided visual attention enable effective object search
-by a home robot.  But there remain many interesting challenges because
-objects are hidden by others and can only be seen from some
-viewpoints. We will discuss how to reason about viewpoint and
-recognition in cluttered scenes, using standard images and range data
-from the Kinect sensor.