Towards 3D hand tracking using a deformable model

Heap, Tony; Hogg, David C.

doi:10.1109/afgr.1996.557255

Cited by 156 publications

(107 citation statements)

References 13 publications

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“…Extensions of the 2D template approach to 3D deformable models have also been recently explored. For example, 3D point distribution model has been employed for gesture tracking [42].…”

Section: Appearance-based Modelmentioning

confidence: 99%

Visual interpretation of hand gestures for human-computer interaction: a review

Pavlović

Sharma

Huang

1997

IEEE Trans. Pattern Anal. Machine Intell.

1,467

646

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Abstract-The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. We survey the literature on visual interpretation of hand gestures in the context of its role in HCI. This discussion is organized on the basis of the method used for modeling, analyzing, and recognizing gestures. Important differences in the gesture interpretation approaches arise depending on whether a 3D model of the human hand or an image appearance model of the human hand is used. 3D hand models offer a way of more elaborate modeling of hand gestures but lead to computational hurdles that have not been overcome given the real-time requirements of HCI. Appearance-based models lead to computationally efficient "purposive" approaches that work well under constrained situations but seem to lack the generality desirable for HCI. We also discuss implemented gestural systems as well as other potential applications of vision-based gesture recognition. Although the current progress is encouraging, further theoretical as well as computational advances are needed before gestures can be widely used for HCI. We discuss directions of future research in gesture recognition, including its integration with other natural modes of humancomputer interaction.

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“…Extensions of the 2D template approach to 3D deformable models have also been recently explored. For example, 3D point distribution model has been employed for gesture tracking [42].…”

Section: Appearance-based Modelmentioning

confidence: 99%

Visual interpretation of hand gestures for human-computer interaction: a review

Pavlović

Sharma

Huang

1997

IEEE Trans. Pattern Anal. Machine Intell.

1,467

646

View full text Add to dashboard Cite

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“…The recently developed condensation algorithm (Isard & Blake 1998, Black & Jepson 1998a) is of particular interest, by explicitly constructing statistical distributions to capture relations between image features. Concerning the specific application to qualitative hand tracking that will be addressed in this paper, more detailed hand models have been presented by (Kuch & Huang 1995, Heap & Hogg 1996, Yasumuro et al 1999. Related graph-like representations for hand tracking and face tracking have been presented by (Triesch & von der Malsburg 1996, Mauerer & von der Malsburg 1996.…”

Section: Choice Of Image Representation For Feature Trackingmentioning

confidence: 99%

Qualitative Multi-scale Feature Hierarchies for Object Tracking

Bretzner¹,

Lindeberg²

1999

Scale-Space Theories in Computer Vision

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This paper shows how the performance of feature trackers can be improved by building a hierarchical view-based object representation consisting of qualitative relations between image structures at different scales. The idea is to track all image features individually, and to use the qualitative feature relations for avoiding mismatches, resolving ambiguous matches and for introducing feature hypotheses whenever image features are lost. Compared to more traditional work on view-based object tracking, this methodology has the ability to handle semi-rigid objects and partial occlusions. Compared to trackers based on threedimensional object models, this approach is much simpler and of a more generic nature. A hands-on example is presented showing how an integrated application system can be constructed from conceptually very simple operations.

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“…In virtual assembly system, the popular studies are mainly that users utilizes data glove [1], [2] to control virtual hand or image processing technigue [3], [4] to track bare hand movement. However, this kind of animation is not suitable for daily interaction in engineering, and has some defect, such as user felt uncomfortable; the simulation of hand is not flexible and it also has bad real-time performance.…”

Section: Related Workmentioning

confidence: 99%

The Construction of Autonomous Virtual Hand in Virtual Assembly Environments

Zhang¹,

Cheng²,

Ge³

et al. 2017

IJCTE

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Abstract-This paper introduces a method of constructing autonomous virtual hand in virtual assembly environments. The goal of this research is presented to improve the practicability of virtual hand in virtual environments. The autonomous virtual hand is realized as the agent by three steps. A gesture set of virtual hand is constructed. Initial gesture, basic gesture and grasping gestures help virtual hand to achieve autonomous grasping. Perceptional ring is constructed for virtual hand, which support the autonomous virtual hand sense the virtual object. The system divides autonomous grasping process into three perception stages. By using this method, user heavy load will be greatly reduced in the assembly process. We prove that this autonomous grasping behavior of flexible virtual hand has a good availability and efficiency. IndexTerms-Human-computer-interaction, virtual environment, virtual assembly, agent, autonomous virtual hand, behavior, perception.

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Towards 3D hand tracking using a deformable model

Cited by 156 publications

References 13 publications

Visual interpretation of hand gestures for human-computer interaction: a review

Visual interpretation of hand gestures for human-computer interaction: a review

Qualitative Multi-scale Feature Hierarchies for Object Tracking

The Construction of Autonomous Virtual Hand in Virtual Assembly Environments

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