Illumination normalization with time-dependent intrinsic images for video surveillance

Variation in illumination conditions caused by weather, time of day, etc., makes the task difficult when building video surveillance systems of real world scenes. Especially, cast shadows produce troublesome effects, typically for object tracking from a fixed viewpoint, since it yields appearance variations of objects depending on whether they are inside or outside the shadow. In this paper, we handle such appearance variations by removing shadows in the image sequence. This can be considered as a preprocessing stage which leads to robust video surveillance. To achieve this, we propose a framework based on the idea of intrinsic images. Unlike previous methods of deriving intrinsic images, we derive time-varying reflectance images and corresponding illumination images from a sequence of images instead of assuming a single reflectance image. Using obtained illumination images, we normalize the input image sequence in terms of incident lighting distribution to eliminate shadowing effects. We also propose an illumination normalization scheme which can potentially run in real time, utilizing the illumination eigenspace, which captures the illumination variation due to weather, time of day, etc., and a shadow interpolation method based on shadow hulls. This paper describes the theory of the framework with simulation results and shows its effectiveness with object tracking results on real scene data sets.     

Three-dimensional measurement of ice crystals in frozen beef with a micro-slicer image processing system

A novel technique has been developed for measuring the three-dimensional (3-D) structure and distribution of ice crystals formed in frozen beef by using a micro-slicer image processing system (MSIPS). The system has functions to reconstruct the 3-D image based on the image data of exposed cross-sections obtained by multi-slicing of a frozen sample with the minimum thickness of 1 μm and to display the internal structure as well as an arbitrary cross-section of the sample choosing observation angles. The size and distribution of ice crystals can be determined from the 2-D quantitative information, such as the periphery and area of the crystals. The effects of freezing conditions on the morphology and distribution of the ice crystals were demonstrated quantitatively from the observations of raw beef stained by fluorescent indicator. For the samples frozen at −15 °C, the network structure of ice crystals were observed mainly at intercellular space, having approximately 100 μm in cross-sectional size, while that prepared at −120 °C showed the spherical crystals of 10–20 μm in diameter within the cells. The 3-D image of the sample demonstrated that the growth of ice columns was restricted by the intrinsic structure of muscle fibers. The proposed method provided a new tool to investigate the effects of freezing conditions on the size, morphology and distribution of ice crystals.     

Animated interface agent applying atms-based multimodal input interpretation

Two requirements should be met in order to develop a practical multimodal interface system , i . e ., ( 1 ) integration of delayed arrival of data and ( 2 ) elimination of ambiguity in recognition results of each modality . This paper presents an efficient and generic methodology for interpretation of multimodal input to satisfy these requirements . The proposed methodology can integrate delayed - arrival data satisfactorily and efficiently interpret multimodal input that contains ambiguity . In the input interpretation the multimodal interpretation process is regarded as hypothetical reasoning , and the control mechanismof interpretation is formalized by applying the assumption - based truth maintenance system ( ATMS ). The proposed method is applied to an interface agent system that accepts multimodal input consisting of voice and direct indication gesture on a touch display . The systemcommunicates to the user through a human - like interface agent's three - dimensional motion image with facial expressions , gestures , and a synthesized voice .     

Depth from Refraction Using a Transparent Medium with Unknown Pose and Refractive Index

In this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured directly by a camera and by placing a transparent medium between the scene and the camera. A depth map of the scene is then recovered from the displacements of scene points in the images. Unlike other existing depth from refraction methods, our method does not require prior knowledge of the pose and refractive index of the transparent medium, but instead can recover them directly from the input images. By analyzing the displacements of corresponding scene points in the images, we derive closed form solutions for recovering the pose of the transparent medium and develop an iterative method for estimating the refractive index of the medium. Experimental results on both synthetic and real-world data are presented, which demonstrate the effectiveness of the proposed method.     

Metal-Induced Structural Switching of a Folded Quinone-Sandwiched Porphyrin

We report the synthesis of a novel quinone-sandwiched porphyrin in which two benzoquinones are connected oppositely at the meso positions of a porphyrin through rigid 3-amido 2,2′-bipyridine linkers. ¹H-NMR and single crystal X-ray analyses revealed that the quinone-sandwiched porphyrin has a folded structure in which the porphyrin unit was inserted into the two quinone moieties via π-stacking. Insertion of a Zn(II) ion into the porphyrin center induced a drastic conformational change which is resulted in coordination of the oxygen atoms of both benzoquinone moieties to the Zn-porphyrin to afford a 6-coordinated structure.     

Novel Structures for Porous Silicon Light-Emitting Diodes

In this paper, two novel structures of porous silicon (PS) light-emitting diodes (LEDs) are proposed aiming at the reduction of series resistance, R_s. The basic idea of the novel structures is to suppress the excessive growth of nanoporous silicon (nano-PS) layer that is electroluminescence- (EL-) active but highly resistive. The initial wafer of the first structure consists of a lightly-doped layer stacked on a highly-doped substrate. As a consequence of anodization, nano-PS layer is formed only in the lightly-doped layer, while meso-PS layer with moderate resistivity is formed in the highly-doped substrate. The second structure consists of alternately stacked nano- and meso-PS layers, since it is expected that multiple thin nano-PS layers connected in series are less resistive than a single thick nano-PS layer. Preliminary experimental results proved the effectiveness of these novel structures on the reduction of R_s.     

Hepatic Expression of Long-Chain Acyl-CoA Synthetase 3 is Upregulated in Hyperlipidemic Hamsters

Members of the mammalian long-chain acyl-CoA synthetase (ACSL) family are key enzymes for cellular fatty acid metabolism that catalyze the initial step in activation of long-chain fatty acids. However, the specificity of individual isoforms of ACSL to the lipid metabolic process is not well studied. In addition, the regulation of expression of individual ACSL isoforms under hyperlipidemic conditions is largely unknown. We cloned the hamster ACSL3 cDNA coding region and generated specific antibodies recognizing the ACSL3 protein. We next observed the changes in ACSL3 mRNA and protein expression in hamsters fed a standard chow diet or a high fat and high cholesterol (HFHC) diet. HFHC feeding significantly increased ACSL3 mRNA and protein expression in liver and to a lesser extent in muscle but not in adipose, brain, heart, or testis. Additionally, ACSL3 mRNA abundance was differentially regulated by the nutritional status in different tissues with liver, muscle, and adipose being the most sensitive tissues. Importantly, the hepatic ACSL3 mRNA expression pattern in response to fasting and refeeding in hyperlipidemic hamsters differed from that observed in normal chow-fed hamsters. Together, these results provide the first in vivo evidence of altered regulation of hepatic ACSL3 expression under hyperlipidemic conditions and suggest important regulatory roles for this enzyme in lipid metabolism.     

Proliferation resistance properties of u and Pu isotopes

The present study provides a quantitative basis for assessment of proliferation resistance properties of U and Pu isotopes.

Within the large area of issues covered by term of proliferation resistance, the only technical characteristics were chosen as a subject for discussion. The present study concentrates on intrinsic proliferation resistance features focusing the material characteristics associated with bare critical mass (BCM), decay heat (DH) and spontaneous-fission neutrons (SFN), which are treated as the main constituents of isotopic barriers against proliferation. The present study aims at determining major proliferation resistant attributes for U and Pu. This determination is largely based on analysis of their critical bare spheres. The MCNP code coupled with JENDL 3.2 data library is the main tool applied for this study. The other characteristics were summarized from the data available in scientific literature.     

Performance evaluation of iterative geometric fitting algorithms

The convergence performance of typical numerical schemes for geometric fitting for computer vision applications is compared. First, the problem and the associated KCR lower bound are stated. Then, three well-known fitting algorithms are described: FNS, HEIV, and renormalization. To these, we add a special variant of Gauss-Newton iterations. For initialization of iterations, random choice, least squares, and Taubin's method are tested. Simulation is conducted for fundamental matrix computation and ellipse fitting, which reveals different characteristics of each method.