Proactive Instructions for Furniture Assembly
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Agents That Talk And Hit Back: Animated Agents in Augmented Reality
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Semi-supervised On-Line Boosting for Robust Tracking
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Easigami: a reconfigurable folded-sheet TUI
Proceedings of the 3rd International Conference on Tangible and Embedded Interaction
MADO interface: a window like a tangible user interface to look into the virtual world
Proceedings of the 3rd International Conference on Tangible and Embedded Interaction
SurfaceWare: dynamic tagging for Microsoft Surface
Proceedings of the 3rd International Conference on Tangible and Embedded Interaction
Spime builder: a tangible interface for designing hyperlinked objects
Proceedings of the 3rd International Conference on Tangible and Embedded Interaction
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
PaperView: augmenting physical surfaces with location-aware digital information
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Concepts for life-like interactive objects
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Instant user interfaces: repurposing everyday objects as input devices
Proceedings of the 2013 ACM international conference on Interactive tabletops and surfaces
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In this paper we explore and prototype the interaction with everyday passive objects. We present an approach for 3D object training and recognition, leveraging Kinect sensors: the Dominant Orientation Templates (DOT) method allows real-time object training and multiple Kinects speed up the training process by learning the object from multiple viewpoints simultaneously with the object background removed. A proof-of-concept usage scenario, 3D real-time Lego building instruction, has been developed based on this approach: the system learns the individual Lego pieces and Lego building steps in advance; the users thus construct the Lego model with 3D visual hints attached to present Lego pieces.