Multiple view geometry in computer vision
Multiple view geometry in computer vision
Self Calibration of the Fixation Movement of a Stereo Camera Head
Autonomous Robots
International Journal of Computer Vision
Sociable machines: expressive social exchange between humans and robots
Sociable machines: expressive social exchange between humans and robots
Robust Real-Time Face Detection
International Journal of Computer Vision
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
A Coherent Computational Approach to Model Bottom-Up Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An Overview of the Tesseract OCR Engine
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Biomimetic Eye-Neck Coordination
DEVLRN '09 Proceedings of the 2009 IEEE 8th International Conference on Development and Learning
ASIFT: A New Framework for Fully Affine Invariant Image Comparison
SIAM Journal on Imaging Sciences
Attention determination for social robots using salient region detection
ICSR'10 Proceedings of the Second international conference on Social robotics
Pareto-optimal coordination of multiple robots with safety guarantees
Autonomous Robots
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This paper presents a robotic head for social robots to attend to scene saliency with bio-inspired saccadic behaviors. Scene saliency is determined by measuring low-level static scene information, motion, and object prior knowledge. Towards the extracted saliency spots, the designed robotic head is able to turn gazes in a saccadic manner while obeying eye---head coordination laws with the proposed control scheme. The results of the simulation study and actual applications show the effectiveness of the proposed method in discovering of scene saliency and human-like head motion. The proposed techniques could possibly be applied to social robots to improve social sense and user experience in human---robot interaction.