Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures. / Abdulali, Arsen; Hassan, Waseem; Jin, Baek Seung; Jeon, Seokhee.

Haptic Interaction - Perception, Devices and Algorithms, 2018. ed. / Dongjun Lee; Masashi Konyo; Ki-Uk Kyung; Hiroyuki Kajimoto; Sang-Youn Kim. Springer, 2019. p. 61-65 (Lecture Notes in Electrical Engineering, Vol. 535).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Abdulali, A, Hassan, W, Jin, BS & Jeon, S 2019, Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures. in D Lee, M Konyo, K-U Kyung, H Kajimoto & S-Y Kim (eds), Haptic Interaction - Perception, Devices and Algorithms, 2018. Springer, Lecture Notes in Electrical Engineering, vol. 535, pp. 61-65, 3rd International AsiaHaptics Conference, 2018, Incheon, Korea, Republic of, 14/11/2018. https://doi.org/10.1007/978-981-13-3194-7_13

APA

Abdulali, A., Hassan, W., Jin, B. S., & Jeon, S. (2019). Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures. In D. Lee, M. Konyo, K-U. Kyung, H. Kajimoto, & S-Y. Kim (Eds.), Haptic Interaction - Perception, Devices and Algorithms, 2018 (pp. 61-65). Springer. Lecture Notes in Electrical Engineering Vol. 535 https://doi.org/10.1007/978-981-13-3194-7_13

Vancouver

Abdulali A, Hassan W, Jin BS, Jeon S. Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures. In Lee D, Konyo M, Kyung K-U, Kajimoto H, Kim S-Y, editors, Haptic Interaction - Perception, Devices and Algorithms, 2018. Springer. 2019. p. 61-65. (Lecture Notes in Electrical Engineering, Vol. 535). https://doi.org/10.1007/978-981-13-3194-7_13

Author

Abdulali, Arsen ; Hassan, Waseem ; Jin, Baek Seung ; Jeon, Seokhee. / Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures. Haptic Interaction - Perception, Devices and Algorithms, 2018. editor / Dongjun Lee ; Masashi Konyo ; Ki-Uk Kyung ; Hiroyuki Kajimoto ; Sang-Youn Kim. Springer, 2019. pp. 61-65 (Lecture Notes in Electrical Engineering, Vol. 535).

Bibtex

@inproceedings{47ab79c8d0fa4cf9bae15787eea5495f,
title = "Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures",
abstract = "In this article, we introduce a framework for heterogeneous assignment of multiple haptic textures to mesh objects based on image textures. The framework consists of two applications, i.e., texture assignment and rendering programs. A user-friendly interface of the framework allows to assign and render textured mesh models in four steps. First, the user provides an image texture file to the algorithm that automatically selects perceptually closest haptic texture from the library. Then, the user is offered to texture object faces by stroking over an object surface with a virtual brush. Several haptic textures can be assigned to different object surfaces of a single mesh model. The haptic information for each face is embedded to mesh object and stored in a generic *.ply file. Finally, a textured mesh object is loaded by rendering application.",
keywords = "Haptic texture assignment, Rendering",
author = "Arsen Abdulali and Waseem Hassan and Jin, {Baek Seung} and Seokhee Jeon",
note = "Funding Information: Acknowledgment. This work was supported by the NRF of Korea through the Global Frontier R&D Program (2012M3A6A3056074). Funding Information: This work was supported by the NRF of Korea through the Global Frontier R&D Program (2012M3A6A3056074). Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 3rd International AsiaHaptics Conference, 2018 ; Conference date: 14-11-2018 Through 16-11-2018",
year = "2019",
doi = "10.1007/978-981-13-3194-7_13",
language = "English",
isbn = "9789811331930",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "61--65",
editor = "Dongjun Lee and Masashi Konyo and Ki-Uk Kyung and Hiroyuki Kajimoto and Sang-Youn Kim",
booktitle = "Haptic Interaction - Perception, Devices and Algorithms, 2018",
address = "Switzerland",

}

RIS

TY - GEN

T1 - Hands-On Demonstration of Heterogeneous Haptic Texturing of Mesh Models Based on Image Textures

AU - Abdulali, Arsen

AU - Hassan, Waseem

AU - Jin, Baek Seung

AU - Jeon, Seokhee

N1 - Funding Information: Acknowledgment. This work was supported by the NRF of Korea through the Global Frontier R&D Program (2012M3A6A3056074). Funding Information: This work was supported by the NRF of Korea through the Global Frontier R&D Program (2012M3A6A3056074). Publisher Copyright: © 2019, Springer Nature Singapore Pte Ltd.

PY - 2019

Y1 - 2019

N2 - In this article, we introduce a framework for heterogeneous assignment of multiple haptic textures to mesh objects based on image textures. The framework consists of two applications, i.e., texture assignment and rendering programs. A user-friendly interface of the framework allows to assign and render textured mesh models in four steps. First, the user provides an image texture file to the algorithm that automatically selects perceptually closest haptic texture from the library. Then, the user is offered to texture object faces by stroking over an object surface with a virtual brush. Several haptic textures can be assigned to different object surfaces of a single mesh model. The haptic information for each face is embedded to mesh object and stored in a generic *.ply file. Finally, a textured mesh object is loaded by rendering application.

AB - In this article, we introduce a framework for heterogeneous assignment of multiple haptic textures to mesh objects based on image textures. The framework consists of two applications, i.e., texture assignment and rendering programs. A user-friendly interface of the framework allows to assign and render textured mesh models in four steps. First, the user provides an image texture file to the algorithm that automatically selects perceptually closest haptic texture from the library. Then, the user is offered to texture object faces by stroking over an object surface with a virtual brush. Several haptic textures can be assigned to different object surfaces of a single mesh model. The haptic information for each face is embedded to mesh object and stored in a generic *.ply file. Finally, a textured mesh object is loaded by rendering application.

KW - Haptic texture assignment

KW - Rendering

U2 - 10.1007/978-981-13-3194-7_13

DO - 10.1007/978-981-13-3194-7_13

M3 - Article in proceedings

AN - SCOPUS:85065980702

SN - 9789811331930

T3 - Lecture Notes in Electrical Engineering

SP - 61

EP - 65

BT - Haptic Interaction - Perception, Devices and Algorithms, 2018

A2 - Lee, Dongjun

A2 - Konyo, Masashi

A2 - Kyung, Ki-Uk

A2 - Kajimoto, Hiroyuki

A2 - Kim, Sang-Youn

PB - Springer

T2 - 3rd International AsiaHaptics Conference, 2018

Y2 - 14 November 2018 through 16 November 2018

ER -

ID: 388952646