A novel haptic texture display based on image processing

Wu, Juan; Song, Aiguo; Zou, Chuiguo

doi:10.1109/robio.2007.4522354

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…In [22], a method that uses wavelet and Fourier transforms to get a depth map of the scene for texture rendering is presented. Another method using Gaussian filters for smoothing the image was used in [23] to generate haptic textures from images. In [24], the Gaussian filter is replaced by an improved switching median filter to preserve fine details on the image.…”

Section: Related Workmentioning

confidence: 99%

Image-Driven Haptic Rendering in Virtual Environments

Rasool

Sourin

2013

2013 International Conference on Cyberworlds

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Haptic interaction significantly augments our experience with a computer and in cyberworlds in particular. However, haptic interaction requires the content creators to make physical or haptic models of the virtual objects while it is not always possible or feasible, especially when it comes to using real images or videos as elements of interaction. We, therefore, propose to use image-driven haptic rendering where a displayed image, real or simulated, is used as a source of the force-feedback calculations at any pixel touched by the haptic device. We introduce the main idea and describe how it is implemented as a core algorithm for image-driven haptic rendering, as well as for a few particular cases of haptic rendering of different dominant colors, textures and contours of the objects displayed in the images. Implementations of the proposed method to desktop tangible image application and haptic video communication on the web are presented as a proof of concept.

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Section: Related Workmentioning

confidence: 99%

Image-Driven Haptic Rendering in Virtual Environments

Rasool

Sourin

2013

2013 International Conference on Cyberworlds

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“…These methods do not require any additional information to produce haptic effects, and the haptic forces can usually be generated on the fly during the interaction time. Different types of information present in an image can be exploited for force generation, such as illumination, visual texture information, color, histogram, luminance/chrominance, etc., [Juan et al 2007;Kagawa et al 2007;Vasudevan and Manivannan 2008]. Existing computer vision and image processing techniques such as stereoscopic vision, edge detection, wavelet transform, etc.…”

Section: Related Workmentioning

confidence: 99%

Haptic interaction with 2D images

Rasool

Sourin

2011

Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry

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Visual and haptic rendering pipelines exist concurrently and compete for computing resources while the refresh rate of haptic rendering is two orders of magnitude higher than that of visual rendering (1000 Hz vs. 30-50Hz). However, in many cases, 3D visual rendering can be replaced by merely displaying 2D images, thus releasing the resources to image-driven haptic rendering algorithms. These algorithms provide for haptic texture rendering in vicinity of a touch point, but usually require additional information augmented with the image to provide for haptic perception of geometry of the shapes displayed in images. We propose a framework for making tangible images which allows haptic perception of three features: scene geometry, texture and physical properties. Haptic geometry rendering technique uses depth information, that could be acquired by a multitude of ways for providing haptic interaction with images and videos in real-time. The presented method neither performs 3D reconstruction nor requires for using polygonal models. It is based on direct force calculation and allows for smooth haptic interaction even at object boundaries. We also propose dynamic mapping of haptic workspace in real-time to enable sensation of fine surface details. Alternately, one of the existing shading-based haptic texture rendering methods can be combined with the proposed haptic geometry rendering algorithm to provide believable interaction. Haptic perception of physical properties is achieved by automatic segmentation of an image into haptic regions and interactive assignment of physical properties to them

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“…For image-based haptic rendering, it is usually assumed that the image brightness intensity matches the height map of the scene to some extent as in (Juan et al, 2007),…”

Section: Direct Computation Of Forces From 2d Imagesmentioning

confidence: 99%

Tangible images

Shahzad¹

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A novel haptic texture display based on image processing

Cited by 11 publications

References 12 publications

Image-Driven Haptic Rendering in Virtual Environments

Image-Driven Haptic Rendering in Virtual Environments

Haptic interaction with 2D images

Tangible images

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