Subwavelength metallic gratings were proposed as integrated polarized-RGB (red, green, and blue) color filters here and their performance was further numerically optimized with the rigorous coupled-wave analysis (RCWA) method and the genetic algorithm (GA). Grating types include the single-layer type and the double-layer one while parameters to be optimized are the period, filling factor, and t...

We introduce a novel visual display paradigm through the use of controllable moving visible objects in physical space. Spaxels is a conjugation of "space" and "pixels". It takes the notion of a pixel, and frees it from the confines of a static two-dimensional matrix of a screen or projection surface to move three dimensionally in space. Spaxels extend the notion of Voxels, volumetric pixels, in...

1,3-Dihydro-1,3,3-trimethyl-8'-nitro-spiro[2H-indole-2,3'-[3H]naphth[2,1-b][1,4]oxazine] (SpO) is a photochromic, acidichromic and metallochromic compound. Its chromogenic properties are characterized in acetonitrile, at room temperature. They are exploited to process both boolean and Fuzzy logic. By using HClO(4), AlCl(3) and Cu(ClO(4))(2) as chemical inputs, UV radiation as power supply, and ...

As shown in Fig. 1, we have measured the spectral sensitivity functions for 28 cameras, including professional DSLRs, point-and-shoot, industrial and mobile cameras (i.e.Nokia N900), using a monochromator and a spectrometer PR655. At each wavelength, the camera spectral sensitivity in RGB channels is calculated by c(λ) = d(λ)/(r(λ) · t(λ)), where d is the raw data recorded by the camera, r is t...

Static hand gesture recognition is very important for human-computer interaction systems, which is widely used in human-computer interaction systems. Using visible RGB images as the input method would be more stable, but the illumination and skin color are big problems; by contrast the depth images is a better choice. A novel algorithm which recognizes static hand gesture based on depth images ...

In this paper, we tackle the problem of RGB-D semantic segmentation of indoor images. We take advantage of deconvolutional networks which can predict pixel-wise class labels, and develop a new structure for deconvolution of multiple modalities. We propose a novel feature transformation network to bridge the convolutional networks and deconvolutional networks. In the feature transformation netwo...

The practical use of the latest methods for supervised 3D shape co-segmentation is limited by the requirement of diverse training data and a watertight mesh representation. Driven by practical considerations, we assume only one reference shape to be available and the query shape to be provided as a partially visible point cloud. We propose a novel co-segmentation approach that constructs a part...

This paper describes and compares two color spaces – YUV and RGB, taking into account possible human-computer interaction applications. Human perception-oriented properties are compared, including not only file size or bandwidth, but also subjective visibility of artifacts. 1700 tests on a group of 170 people were performed to describe the subjective quality of compressed YUV and RGB images. Th...