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Rigid texture image force touch sense generating method based on five elements

A texture image and rigid technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of not being able to perceive texture details, pixel force, touch, etc., and achieve the effect of improving realism

Inactive Publication Date: 2015-07-08
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology

[0004] Although these methods can be used for force haptic rendering of rigid body texture images, these methods perceive the pixels of texture details in a way of shaking or vibration, and cannot perceive force haptics between texture detail pixels.

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  • Rigid texture image force touch sense generating method based on five elements
  • Rigid texture image force touch sense generating method based on five elements
  • Rigid texture image force touch sense generating method based on five elements

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with drawings and embodiments.

[0032] like figure 1 As shown, the present invention first reads the rigid texture image, performs region grouping and pixel height value acquisition on the texture image, converts the texture image into a three-dimensional texture image, solves the surface normal vector of each grid of the texture image, and assigns different area groups Different physical properties (surface rigidity coefficient, surface sliding friction coefficient and surface damping coefficient), in the process of human-computer interaction, get the penetration depth of the interaction point and the moving speed of the agent point, solve and output the stability of different objects in the texture image And continuous force touch.

[0033] like figure 1 Shown, specifically the inventive method comprises:

[0034] 1) Perform region grouping and pixel height value acquisition on the rigid texture ...

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Abstract

The invention discloses a rigid texture image force touch sense generating method based on five elements, and the method is used for sensing a rigid texture image. Area grouping and pixel point height value acquiring are conducted on the texture image; after the rigid texture image is converted into a three-dimensional texture graph, different physical attributes are endowed to different area groups; force touch senses of different objects in the texture image are generated based on the five elements including the piercing depth, the surface normal vector, the surface rigidity coefficient, the surface sliding friction coefficient and the surface damping coefficient. Compared with a previous method, the rigid texture image force touch sense generating method has the advantages that triangular patches of texture details are established, the slight force touch sense between texture detail pixel points can be sensed, the stable and continuous force touch sense can be output, and the trueness of the force touch sense is improved.

Description

technical field [0001] The present invention relates to the force-tactile generation of texture images, in particular to a force-tactile generation method for rigid texture images based on five elements, which combines the five elements of penetration depth, surface normal vector, surface rigidity coefficient, surface sliding friction coefficient and surface damping coefficient. The method solves and outputs stable and continuous haptic sensation, and belongs to the field of computer graphics and virtual reality haptic reproduction technology. Background technique [0002] Image information is mainly perceived through human vision. However, for vulnerable groups of blind people, it is difficult to see images through vision. Perception substitution has become an inevitable choice for blind people to perceive images. Blind people recognize images through force-touch or hearing instead of vision, and force-touch is the most important alternative way of visual perception. [00...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T17/00
Inventor 杨文珍黄欣吴新丽
Owner ZHEJIANG SCI-TECH UNIV
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