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Displaying 1-9 out of 9 total
Combining Regions and Patches for Object Class Localization
Found in: Computer Vision and Pattern Recognition Workshop
By Caroline Pantofaru, Gyuri Dorko, Cordelia Schmid, Martial Hebert
Issue Date:June 2006
pp. 23
We introduce a method for object class detection and localization which combines regions generated by image segmentation with local patches. Region-based descriptors can model and match regular textures reliably, but fail on parts of the object which are t...
 
Toward Objective Evaluation of Image Segmentation Algorithms
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ranjith Unnikrishnan, Caroline Pantofaru, Martial Hebert
Issue Date:June 2007
pp. 929-944
Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thus far has been largely subjective, leaving a system designer to judge the effec...
 
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar
Issue Date:June 2007
pp. 1-8
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a significant shortcoming of this approach is that the clustering and classificat...
 
Fast Hand Gesture Recognition for Real-Time Teleconferencing Applications
Found in: Recognition, Analysis, & Tracking of Faces & Gestures in Real -Time Systems, IEEE ICCV Workshop on
By James MacLean, Caroline Pantofaru, Laura Wood, Rainer Herpers, Konstantinos Derpanis, Doug Topalovic, John Tsotsos
Issue Date:August 2001
pp. 0133
Abstract: Work on real-time hand-gesture recognition for SAVI (Stereo Active Vision Interface) is presented. Based on the detection of frontal faces, image regions near the face are searched for the existence of skin-tone blobs. Each blob is evaluated to d...
 
Understanding Indoor Scenes Using 3D Geometric Phrases
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Wongun Choi,Yu-Wei Chao,Caroline Pantofaru,Silvio Savarese
Issue Date:June 2013
pp. 33-40
Visual scene understanding is a difficult problem interleaving object detection, geometric reasoning and scene classification. We present a hierarchical scene model for learning and reasoning about complex indoor scenes which is computationally tractable, ...
 
Programming robots at the museum
Found in: Proceedings of the 12th International Conference on Interaction Design and Children (IDC '13)
By Andreas Paepcke, Austin Hendrix, Caroline Pantofaru, Dirk Thomas, Sarah Elliott, Sharon Marzouk
Issue Date:June 2013
pp. 305-308
We describe our experience exhibiting a human-size robot in a museum, encouraging visitors to interact with the robot and even program it to perform a sequence of timed poses. At the museum, users' programs were run on a real robot for all to see. The inst...
     
Making technology homey: finding sources of satisfaction and meaning in home automation
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Bianca Soto, Caroline Pantofaru, David Robson, Leila Takayama, Michael Barry
Issue Date:September 2012
pp. 511-520
Home and automation are not natural partners--one homey and the other cold. Most current automation in the home is packaged in the form of appliances. To better understand the current reality and possible future of living with other types of domestic techn...
     
Exploring the role of robots in home organization
Found in: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction (HRI '12)
By Bianca Soto, Caroline Pantofaru, Leila Takayama, Tully Foote
Issue Date:March 2012
pp. 327-334
Technologists have long wanted to put robots in the home, making robots truly personal and present in every aspect of our lives. It has not been clear, however, exactly what these robots should do in the home. The difficulty of tasking robots with home cho...
     
Help me help you: interfaces for personal robots
Found in: Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction (HRI '10)
By Alexander Sorokin, Caroline Pantofaru, Ian J. Goodfellow, Leila Takayama, Marius Muja, Nate Koenig
Issue Date:March 2010
pp. 187-188
We developed three interfaces to allow non-expert users to teach name for new visual objects and compare them through user's studies in term of learning efficiency.
     
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