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Three-dimensional object recognition from single two-dimensional images

by David G. Lowe - Artificial Intelligence , 1987
"... A computer vision system has been implemented that can recognize threedimensional objects from unknown viewpoints in single gray-scale images. Unlike most other approaches, the recognition is accomplished without any attempt to reconstruct depth information bottom-up from the visual input. Instead, ..."
Abstract - Cited by 484 (7 self) - Add to MetaCart
. A high level of robustness in the presence of occlusion and missing data can be achieved through full application of a viewpoint consistency constraint. It is argued that similar mechanisms and constraints form the basis for recognition in human vision. This paper has been published in Artificial

Vision-Based Gesture Recognition: A Review

by Ying Wu, Thomas S. Huang, N. Mathews - Lecture Notes in Computer Science
"... The use of gesture as a natural interface serves as a motivating force for research in modeling, analyzing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent visi ..."
Abstract - Cited by 111 (1 self) - Add to MetaCart
vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal gesture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.

A survey of industrial model predictive control technology

by S. Joe Qin , Thomas A. Badgwell , 2003
"... This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control an ..."
Abstract - Cited by 460 (4 self) - Add to MetaCart
by each vendor are summarized by application area. The final section presents a vision of the next generation of MPC technology, with an emphasis on potential business and research opportunities.

Vision-Based Bare-Hand Gesture Interface for Interactive Augmented Reality Applications

by Jong-hyun Yoon, Jong-seung Park, Mee Young Sung
"... Abstract. This paper presents a barehanded interaction method for augmented reality games based on human hand gestures. Point features are tracked from input video frames and the motion of moving objects is computed. The moving patterns of the motion trajectories are used to determine whether the mo ..."
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Abstract. This paper presents a barehanded interaction method for augmented reality games based on human hand gestures. Point features are tracked from input video frames and the motion of moving objects is computed. The moving patterns of the motion trajectories are used to determine whether

Vision-based interpretation of hand gestures for remote control of a computer mouse

by Antonis A. Argyros, Manolis I. A. Lourakis - In Computer Vision in Human-Computer Interaction , 2006
"... Abstract. This paper presents a vision-based interface for controlling a computer mouse via 2D and 3D hand gestures. The proposed interface builds upon our previous work that permits the detection and tracking of multiple hands that can move freely in the field of view of a potentially moving camera ..."
Abstract - Cited by 27 (4 self) - Add to MetaCart
Abstract. This paper presents a vision-based interface for controlling a computer mouse via 2D and 3D hand gestures. The proposed interface builds upon our previous work that permits the detection and tracking of multiple hands that can move freely in the field of view of a potentially moving

Hand-Gesture Based Film Restoration

by Attila Licsr University, Attila Licsár, Tamás Szirányi - Proc. of PRIS’02 , 2002
"... We have developed a static hand-gesture recognition system for the Human Computer Interaction based on shape analysis. This appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. Usually systems use two phases: training and running phase under the recog ..."
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We have developed a static hand-gesture recognition system for the Human Computer Interaction based on shape analysis. This appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. Usually systems use two phases: training and running phase under

Vision-based interfaces for mobility

by Mathias Kölsch, Matthew Turk, Tobias Höllerer - In Intl. Conference on Mobile and Ubiquitous Systems (MobiQuitous , 2004
"... Vision-based user interfaces are a feasible and advantageous modality for wearable computers. To substantiate this claim, we present a robust real-time hand gesture recognition system that is capable of being the sole input provider for a demonstration application. It achieves usability and interact ..."
Abstract - Cited by 22 (6 self) - Add to MetaCart
Vision-based user interfaces are a feasible and advantageous modality for wearable computers. To substantiate this claim, we present a robust real-time hand gesture recognition system that is capable of being the sole input provider for a demonstration application. It achieves usability

A fast algorithm for vision-based hand gesture recognition for robot control

by Asanterabi Malima, Erol Özgür, Müjdat Çetin - IEEE 14th conference on Signal Processing and Communications Applications , 2006
"... We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form. We consider a fixed set of manual commands and a reasonably structured environment, and develop ..."
Abstract - Cited by 15 (0 self) - Add to MetaCart
We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form. We consider a fixed set of manual commands and a reasonably structured environment

Max-Pooling Convolutional Neural Networks for Vision-based Hand Gesture Recognition

by Jawad Nagi, Frederick Ducatelle, Gianni A. Di Caro, Dan Ciresan, Ueli Meier, Alessandro Giusti, Farrukh Nagi, Jürgen Schmidhuber, Luca Maria Gambardella - IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA2011) , 2011
"... Automatic recognition of gestures using computer vision is important for many real-world applications such as sign language recognition and human-robot interaction (HRI). Our goal is a real-time hand gesture-based HRI interface for mobile robots. We use a state-of-the-art big and deep neural networ ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
Automatic recognition of gestures using computer vision is important for many real-world applications such as sign language recognition and human-robot interaction (HRI). Our goal is a real-time hand gesture-based HRI interface for mobile robots. We use a state-of-the-art big and deep neural

A survey on visual surveillance of object motion and behaviors

by Weiming Hu, Tieniu Tan, Liang Wang, Steve Maybank - IEEE Transactions on Systems, Man and Cybernetics , 2004
"... Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux stat ..."
Abstract - Cited by 439 (6 self) - Add to MetaCart
Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux
Results 11 - 20 of 6,519