Results 1 - 10 of 168

Intelligent Scissors for Image Composition

by Eric N. Mortensen, William A. Barrett - In Computer Graphics, SIGGRAPH Proceedings , 1995
"... We present a new, interactive tool called Intelligent Scissors which we use for image segmentation and composition. Fully automated segmentation is an unsolved problem, while manual tracing is inaccurate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images ..."
Abstract - Cited by 291 (7 self) - Add to MetaCart
, rather than simply the strongest edge in the neighborhood. Boundary cooling automatically freezes unchanging segments and automates input of additional seed points. Cooling also allows the user to be much more free with the gesture path, thereby increasing the efficiency and finesse with which boundaries

Gesture Heatmaps: Understanding Gesture Performance with Colorful Visualizations

by Radu-daniel Vatavu, Lisa Anthony, Jacob O. Wobbrock
"... Figure 1. Gesture heatmap examples illustrating user variation during gesture articulation measured as localized absolute and relative turning angles (“alpha ” and “flower”), articulation speed (“spiral”), and shape distance error from a template (“star”). NOTE: Heatmaps were generated with our tool ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
tool, GHoST (Gesture HeatmapS Toolkit). We introduce gesture heatmaps, a novel gesture analysis technique that employs color maps to visualize the variation of local features along the gesture path. Beyond current gesture analysis practices that characterize gesture articulations with single

Interactive segmentation with intelligent scissors

by Eric N. Mortensen, William A. Barrett - Graphical Models and Image Processing , 1998
"... We present a new, interactive tool called Intelligent Scissors which we use for image seg-mentation. Fully automated segmentation is an unsolved problem, while manual tracing is inaccu-rate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images to be extracte ..."
Abstract - Cited by 145 (3 self) - Add to MetaCart
to be extracted quickly and accurately using simple gesture motions with a mouse. When the gestured mouse position comes in proximity to an object edge, a live-wire boundary “snaps” to, and wraps around the object of interest. Live-wire boundary detection formulates boundary detection as an optimal path search

Improving In-Game Gesture Learning with Visual Feedback

by Matthias Schwaller, Leonardo Angelini, Denis Lalanne
"... Abstract. This paper presents a research work on gesture recognition and feed-back to reduce the learning time of new gestures and to augment user perfor-mance in a game application. A Wiimote controlled space shooter game, GeStar Wars, has been developed. The player controls a spaceship through the ..."
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the buttons in the controller, while forearm gestures can be used to perform special actions. Gesture strokes are mapped in a 3x3 grid and are differentiated according to the path of the covered grid cells. In-game visual feedback displays to the user the current gesture path and which cells were covered

Model-based Gesture Recognition

by Greg Schmidt, Donald H. House, Mike Miller - in 4th International Workshop on Automatic Face and Gesture Recognition , 2000
"... We describe a new technique for gesture recognition that involves both physical and control models of gesture performance. The technique incorporates an underlying model of the physical motion involved with performing a specific gesture. The gestures we analyze are all made with simple motions of th ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
of the right arm, and we track only the hand position. We model the actual path the hand traverses while performing a gesture as a point-mass moving through air.

Gesture Classification Using Hidden Markov Models and Viterbi Path Counting

by Nianjun Liu, Brian C. Lovell - In Proceedings DigitalImage Computing:Techniques and Applications , 2003
"... Abstract. Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input system, our work presented in this paper describes a Hidden Markov Model (HMM) based framework for hand gesture de ..."
Abstract - Cited by 9 (0 self) - Add to MetaCart
Abstract. Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input system, our work presented in this paper describes a Hidden Markov Model (HMM) based framework for hand gesture

Agent-Based Gesture Tracking

by Robert Bryll, Francis Quek , 2004
"... We describe an agent-based approach to the visual tracking of human hands and head that represents a very useful “middle ground ” between the simple model-free tracking and the highly constrained model-based solutions. It combines the simplicity, speed and flexibility of tracking without using expli ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
with a well-organized extended path coherence resolution approach designed to handle crossing trajectories of multiple objects. Both approaches are combined in an easily configurable framework. We are not aware of any path coherence or data fusion solution in the computer vision literature that equals

GPSel: A Gestural Perceptual-based Path Selection Technique

by Hoda Dehmeshki, Wolfgang Stuerzlinger
"... Abstract. This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a model to detect perceptually salient paths formed by the Gestalt principles of good continuity and closure. Then ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
Abstract. This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a model to detect perceptually salient paths formed by the Gestalt principles of good continuity and closure

Gesture Recognition for alphabet from Hand Motion Trajectory Using Hidden Markov Models

by Mahmoud Elmezain, Ayoub Al-hamadi, Gerald Krell, Sherif El-etriby, Bernd Michaelis - 2007 IEEE International
"... Abstract — This paper describes a method to recognize the alpha-bets from a single hand motion using Hidden Markov Models (HMM). In our method, gesture recognition for alphabets is based on three main stages; preprocessing, feature extraction and classification. In preprocessing stage, color and dep ..."
Abstract - Cited by 9 (2 self) - Add to MetaCart
and depth information are used to detect both hands and face in connection with morphological operation. After the detection of the hand, the tracking will take place in further step in order to determine the motion trajectory so-called gesture path. The second stage, feature extraction enhances the gesture

PARAMETERS OF TONGUE TIP GESTURES

by Christine Mooshammer, Susanne Fuchs
"... Unstressed syllables are produced by a reduction of movement amplitudes and durations compared to stressed syllables. In order to investigate the effect of deaccentuation on tongue tip gestures in /tVt / sequences with all vowels of German we recorded tongue tip movements of five speakers by means o ..."
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Unstressed syllables are produced by a reduction of movement amplitudes and durations compared to stressed syllables. In order to investigate the effect of deaccentuation on tongue tip gestures in /tVt / sequences with all vowels of German we recorded tongue tip movements of five speakers by means
Results 1 - 10 of 168