DIBHR: Depth image-based Haptic rendering

Jongeun Cha, Mohamad Eid, Abdulmotaleb El Saddik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents Depth Image-Based Haptic Rendering (DIBHR), a haptic rendering algorithm that enables users to haptically explore 3D video media based on depth image-based representation (DIBR). The algorithm computes the shortest proxy (god-object) path along which the proxy goes into the local distance minimum to the goal (haptic interaction point) constrained on surface in order to obtain correct friction force when the friction cone algorithm is applied. This algorithm is based on the god-object [3] concept and adopted the neighborhood search algorithm [5][6]. The experiments compare DIBHR with two previous algorithms [5][6] as per computation time and smoothness of resultant force rendering. The results show slower computation time yet within 1 millisecond and smoother force with friction.

Original languageEnglish (US)
Title of host publicationHaptics
Subtitle of host publicationPerception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings
Pages640-650
Number of pages11
DOIs
StatePublished - Oct 27 2008
Event6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008 - Madrid, Spain
Duration: Jun 10 2008Jun 13 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5024 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008
CountrySpain
CityMadrid
Period6/10/086/13/08

Fingerprint

Haptic Rendering
Image-based Rendering
Friction
Haptic Interaction
3D Video
Neighborhood Search
Minimum Distance
Rendering
Search Algorithm
Smoothness
Cone
Cones
Path
Experiment

Keywords

  • depth image
  • Haptic rendering algorithm

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Cha, J., Eid, M., & El Saddik, A. (2008). DIBHR: Depth image-based Haptic rendering. In Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings (pp. 640-650). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5024 LNCS). https://doi.org/10.1007/978-3-540-69057-3_81

DIBHR : Depth image-based Haptic rendering. / Cha, Jongeun; Eid, Mohamad; El Saddik, Abdulmotaleb.

Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. p. 640-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5024 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cha, J, Eid, M & El Saddik, A 2008, DIBHR: Depth image-based Haptic rendering. in Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5024 LNCS, pp. 640-650, 6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008, Madrid, Spain, 6/10/08. https://doi.org/10.1007/978-3-540-69057-3_81
Cha J, Eid M, El Saddik A. DIBHR: Depth image-based Haptic rendering. In Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. p. 640-650. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-69057-3_81
Cha, Jongeun ; Eid, Mohamad ; El Saddik, Abdulmotaleb. / DIBHR : Depth image-based Haptic rendering. Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. pp. 640-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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