Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust framework for content-based retrieval by spatial similarity in image databases
ACM Transactions on Information Systems (TOIS)
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Learning to Detect Objects in Images via a Sparse, Part-Based Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Understanding the role of image recognition in mobile tour guides
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
A Mobile Vision System for Urban Detection with Informative Local Descriptors
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
PhoneGuide: museum guidance supported by on-device object recognition on mobile phones
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Learning spatial relations in object recognition
Pattern Recognition Letters
Enabling Mobile Phones To Support Large-Scale Museum Guidance
IEEE MultiMedia
Mobile Phone-Enabled Museum Guidance with Adaptive Classification
IEEE Computer Graphics and Applications
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Adaptive training of video sets for image recognition on mobile phones
Personal and Ubiquitous Computing
Phone-to-phone communication for adaptive image classification
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relationships among the subobjects to verify and to predict the locations of detected and undetected subobjects, respectively. By continuously refining the spatial relationships throughout the detection process, even locations of completely occluded exhibits can be determined. This approach is applied in the context of PhoneGuide, an adaptive museum guidance system for camera-equipped mobile phones. Laboratory tests as well as a field experiment reveal recognition rates and performance improvements when compared to related approaches.