There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

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Flow The Psychology Of Optimal Experience

This paper presents a new reflectance model for rendering computer synthesized images. The model accounts for the relative brightness of different materials and light sources in the same scene. It describes the directional distribution of the reflected light and a color shift that occurs as the reflectance changes with incidence angle. The paper presents a method for obtaining the spectral energy distribution of the light reflected from an object made of a specific real material and discusses a procedure for accurately reproducing the color associated with the spectral energy distribution. The model is applied to the simulation of a metal and a plastic.

A reflectance model for computer graphics

Methods of manufacturing a liquid crystal device including depositing a layer of liquid crystal material on a substrate and imprinting a pattern on the layer of liquid crystal material using an imprint template are disclosed. The liquid crystal material can be jet deposited. The imprint template can include surface relief features, Pancharatnam-Berry Phase Effect (PBPE) structures or diffractive structures. The liquid crystal device manufactured by the methods described herein can be used to manipulate light, such as for beam steering, wavefront shaping, separating wavelengths and/or polarizations, and combining different wavelengths and/or polarizations.

Virtual and augmented reality systems and methods

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LITS) organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2016 and International Conference On Medical Image Computing Computer Assisted Intervention (MICCAI) 2017. Twenty four valid state-of-the-art liver and liver tumor segmentation algorithms were applied to a set of 131 computed tomography (CT) volumes with different types of tumor contrast levels (hyper-/hypo-intense), abnormalities in tissues (metastasectomie) size and varying amount of lesions. The submitted algorithms have been tested on 70 undisclosed volumes. The dataset is created in collaboration with seven hospitals and research institutions and manually reviewed by independent three radiologists. We found that not a single algorithm performed best for liver and tumors. The best liver segmentation algorithm achieved a Dice score of 0.96(MICCAI) whereas for tumor segmentation the best algorithm evaluated at 0.67(ISBI) and 0.70(MICCAI). The LITS image data and manual annotations continue to be publicly available through an online evaluation system as an ongoing benchmarking resource.

The Liver Tumor Segmentation Benchmark (LiTS)

Background subtraction technique has been widely used in the single camera based multi-touch system. The solution
based on fixed-rate background accumulation can only be used to the applications with gradual change of ambient
lightings. This paper presents a solution to update background by detecting ambient lightings, which enables the
multi-touch system to be operated under the conditions of rapid or complicated change of ambient lightings.
Experimental results show that with the help of the presented solutions, the ghost points are efficiently reduced and the
system can adapt to the changes of ambient lighting in 1 second.

Fast background image update in multi-touch system

Computer-generated hologram (CGH) is a key technology in electro-holography systems. However, the huge computational complexity is a challenge for practical demands. In this paper, we propose an improved algorithm to accelerate CGH computation based on symmetric compressed LUT (SC-LUT) algorithm. In LUT calculation, the horizontal and vertical modulation factors is reduced to one-dimension arrays instead of dual one-dimension arrays. In hologram calculation, we introduce a one-time generation of color holograms method which is accelerated by matrix convolution operation. Numerical simulation results also show at least 13 times faster than existing algorithms without sacrificing the computation precision. The proposed algorithm accelerated by the graphic processing unit (GPU) is an effective method for fast calculation of CGH in color holographic display.

Fast calculation of CGH using improved symmetric compressed LUT algorithm

A plasmonic fiber-tip based on the metallic metasurface and the multimode fiber (MMF) alleviates the limitation of the inevitable large sensing size caused by fiber side wall functionalization. Localized surface plasmon resonance (LSPR) based on metasurface on the fiber-tip provides a promising way to manipulate and interrogate the transmitted and reflection light in sub-wavelength range. Combining the advantages of plasmonic fiber-tip and magnetic fluid, a compact magnetic field fiber-optic sensor is proposed and verified by experiments. The developed fiber-optic magnetic field sensor has linear response and high magnetic strength sensitivity of 0.532 nm/mT over a range of 0-20 mT. In addition, the results also prove the feasibility of pseudo-vector magnetic field sensing.

Compact magnetic field sensor based on plasmonic fiber-tip

The invention relates to the technical field of medical imaging devices, and provides an optical coherence tomography imaging handheld probe which comprises an optical treatment module. The optical treatment module comprises a collimating lens, an MEMS galvanometer, a focusing lens set, a right-angle reflection prism and a reflector set which are sequentially arranged along a light path, incident light from the focusing lens set is divided into two beams of reflection light rays by the right-angle reflection prism through reflection of two right-angle surfaces, the reflection light rays are reflected by the reflector set, and two beams of relative emergence light rays are outputted. According to the probe, when a pre-imaged blood vessel is observed, the blood vessel is placed between two beams of relative emergence light rays, deflection of the MEMS galvanometer is controlled and adjusted, so that the blood vessel can be scanned in two directions, a section structure of the blood vessel is observed through two sides in a bidirectional scanning process, effective depth of blood vessel imaging is greatly increased, and imaging definition is ensured.

Optical coherence tomography imaging handheld probe

This paper presents a novel image segmentation method in which energy function is based on global region information while not only on edge information. Image segmentation can be viewed as a routing problem. In order to obtain the optimal segmentation, the Shortest Path Faster Algorithm (SPFA) is used to optimize the discrete grid energy function. As the commonly used Live-Wire algorithm is easy to obtain mistake segmentation when the strong edges and the weak edges are close to each other, the interactive segmentation method is proposed for the precise boundaries estimation. The developed method has been tested on both clinical medical images and natural scene images. It can be seen that the developed method is very fast and effective, and can obtain good segmentation results.

Yongtian Wang

Papers

Fast background image update in multi-touch system

Fast calculation of CGH using improved symmetric compressed LUT algorithm

Compact magnetic field sensor based on plasmonic fiber-tip

Optical coherence tomography imaging handheld probe

Segmentation Based on Routing Image Algorithms