Multiresolution sampling procedure for analysis and synthesis of texture images

Details of a low cost augmented-reality system for the simulation of ultrasound guided needle insertion procedures (tissue biopsy, abscess drainage, nephrostomy etc.) for interventional radiology education is presented. The system comprises physical elements; a mannequin, an ultrasound probe and a needle, and software elements; generating virtual ultrasound anatomy and allowing data collection. These two elements are linked by a pair of magnetic 3D position sensors. Virtual anatomy, for image generation, is generated based on full body CT scans of live humans. Details of the novel aspects of this system are presented including; image generation, registration and calibration.

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“…This is a very fast process as it does not rely on searching through the training set (e.g. [28]) or iterative optimisation (e.g. [27]).…”

Section: Construction Of Texture Databasementioning

confidence: 99%

An augmented reality simulator for ultrasound guided needle placement training

et al. 2007

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“…In computer graphics, the texture synthesis technique has been widely studied [6,8,9,17,18]. This technique generates random high-quality texture from small source texture.…”

Section: Related Workmentioning

confidence: 99%

Perceptually inspired real-time artistic style transfer for video stream

Kang

Tian

Seo

2016

J Real-Time Image Proc

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This study presents a real-time texture transfer method for artistic style transfer for video stream. We propose a parallel framework using a T-shaped kernel to enhance the computational performance. With regard to accelerated motion estimation, which is necessarily required for maintaining temporal coherence, we present a method using a downscaled motion field to successfully achieve high real-time performance for texture transfer of video stream. In addition, to enhance the artistic quality, we calculate the level of abstraction using visual saliency and integrate it with the texture transfer algorithm. Thus, our algorithm can stylize video with perceptual enhancements.

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“…Existing work on texture synthesis has achieved impressive results for a variety of different types of textures (e.g., De Bonet, 1997;Efros and Leung, 1999;Ashikhmin, 2001;Efros and Freeman, 2001;Hsu and Wilson, 1998;Wei and Levoy, 2000;Hertzmann et al, 2001;Xu et al, 2001;Liang et al, 2001;Zhu et al, 2000;Kwatra et al, 2003;Cohen et al, 2003). These texture synthesis algorithms share a common theme of local neighborhood-based statistical approaches.…”

Section: Motivationmentioning

confidence: 99%

“…These texture synthesis algorithms share a common theme of local neighborhood-based statistical approaches. Distinctions can be drawn between approaches that constructively establish statistical models for the input texture (Cross and Jain, 1983;Zhu et al, 1997) versus others that seek to find matching joint statistics directly in the input samples (De Bonet, 1997;Portilla and Simoncelli, 2000;Zhu et al, 2000). More recently, non-parametric estimation of texture PDFs has become popular (Efros and Leung, 1999;Wei and Levoy, 2000;Efros and Freeman, 2001;Liang et al, 2001).…”

Section: Motivationmentioning

confidence: 99%

The Promise and Perils of Near-Regular Texture

Liu

Tsin

Lin

2005

International Journal of Computer Vision

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Abstract. Motivated by the low structural fidelity for near-regular textures in current texture synthesis algorithms, we propose and implement an alternative texture synthesis method for near-regular texture. We view such textures as statistical departures from regular patterns and argue that a thorough understanding of their structures in terms of their translation symmetries can enhance existing methods of texture synthesis. We demonstrate the perils of texture synthesis for near-regular texture and the promise of faithfully preserving the regularity as well as the randomness in a near-regular texture sample.

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Multiresolution sampling procedure for analysis and synthesis of texture images

Cited by 434 publications

References 17 publications

An augmented reality simulator for ultrasound guided needle placement training

An augmented reality simulator for ultrasound guided needle placement training

Perceptually inspired real-time artistic style transfer for video stream

The Promise and Perils of Near-Regular Texture

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