88 research outputs found

    Ultra-Shallow DoF Imaging Using Faced Paraboloidal Mirrors

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    Computer Vision - ACCV 2016: 13th Asian Conference on Computer Vision, Nov 20-24, 2016, Taipei, TaiwanWe propose a new imaging method that achieves an ultra-shallow depth of field (DoF) to clearly visualize a particular depth in a 3-D scene. The key optical device consists of a pair of faced paraboloidal mirrors with holes around their vertexes. In the device, a lens-less image sensor is set at one side of their holes and an object is set at the opposite side. The characteristic of the device is that the shape of the point spread function varies depending on both the positions of the target 3-D point and the image sensor. By leveraging this characteristic, we reconstruct a clear image for a particular depth by solving a linear system involving position-dependent point spread functions. In experiments, we demonstrate the effectiveness of the proposed method using both simulation and an actually developed prototype imaging system

    Moving object detection from a point cloud using photometric and depth consistencies

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    ICPR 2016: 23rd International Conference on Pattern Recognition, Dec 4-8, 2016, Cancun, Mexico3D models of outdoor environments have been used for several applications such as a virtual earth system and a vision-based vehicle safety system. 3D data for constructing such 3D models are often measured by an on-vehicle system equipped with laser rangefinders, cameras, and GPS/IMU. However, 3D data of moving objects on streets lead to inaccurate 3D models when modeling outdoor environments. To solve this problem, this paper proposes a moving object detection method for point clouds by minimizing an energy function based on photometric and depth consistencies assuming that input data consist of synchronized point clouds, images, and camera poses from a single sequence captured with a moving on-vehicle system

    Tissue Gene Expression of Renin-Angiotensin System in Human Type 2 Diabetic Nephropathy

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    OBJECTIVE—Recent studies have proved that blockade of the renin-angiotensin system (RAS) retards the progression of diabetic nephropathy, whereas hyporeninemia is known as a typical state in diabetic subjects. The purpose of this study is to determine whether expression levels of RAS differ between nondiabetic and diabetic renal tissues with accurate quantitative method. RESEARCH DESIGN AND METHODS—Subjects were 66 nondiabetic and 8 diabetic patients with biopsy-proven renal diseases. The eight diabetic subjects suffered from type 2 diabetes with overt proteinuria. Renal histology revealed typical diffuse or nodular lesions with linear IgG deposit on immunofluorescent staining and thickened basement membrane on electronic microscopy. Total RNA from a small part of the renal cortical biopsy specimens was reverse-transcribed, and the resultant cDNA was amplified for new major components of RAS (i.e., renin, renin receptor, angiotensinogen, ACE, ACE2, angiotensin II type 1 receptor, and angiotensin II type 2 receptor) and measured. RESULTS—Among these components, a significant upregulation was observed in the ACE gene in diabetic renal tissue. CONCLUSIONS—The results suggest that renal tissue RAS might be activated in the respect that ACE gene expression is upregulated in spite of a tendency to low renin expression in type 2 diabetic nephropathy

    Cerium X-ray Spectra without Filtering and their Application to High-contrast Angiography

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    The cerium-target x-ray tube is useful in order to perform cone-beam K-edge angiography because K-series characteristic x rays from the cerium target are absorbed effectively by iodine-based contrast media. The x-ray generator consists of a main controller, an x-ray tube unit with a high-voltage circuit and an insulation transformer, and a personal computer. The tube is a glass-enclosed diode with a cerium target and a 0.5-mm-thick beryllium window. The maximum tube voltage and current were 65 kV and 0.4 mA, respectively, and the focal-spot sizes were 1.2×0.8 mm. Sharp cerium K-series characteristic x rays were observed without using a filter, and the x-ray intensity was 209μGy/s at 1.0 m from the source with a tube voltage of 60 kV and a current of 0.40 mA. Angiography was performed with a computed radiography system using iodine-based microspheres 15 μm in diameter. In angiography of non-living animals, we observed fine blood vessels of approximately 100 μm with high contrasts

    5 Image Inpainting for Removing Undesired Objects

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    パターン ルイジド ニ モトズク エネルギー サイショウ カ ニヨル タジゲン ガゾウ ノ ケッソン シュウフク

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    博士(Doctor)工学(Engineering)奈良先端科学技術大学院大学博第902号甲第902号博士(工学)奈良先端科学技術大学院大

    Multi-dimensional Image Completion by Minimizing Energy Based on Pattern Similarity

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    Image inpainting considering symmetric patterns

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    ICPR 2012 : 21th International Conference on Pattern Recognition , Nov 11-15, 2012 , Tsukuba, JapanThis paper proposes a novel image inpainting method to remove undesired objects in an image. Conventionally, missing regions are filled in using similar textures in an image as exemplars. However, unnatural textures are often generated due to the paucity of available samples. In this study, we take into account symmetric transformation of texture patterns to increase exemplars. To generate plausible textures in missing regions with variously transformed patterns, we employ two approaches: (1) we use spatial coherence of texture patterns when searching for similar patterns, and (2) we define a new degree of confidence of exemplars for determining pixel values. The effectiveness of the proposed method is demonstrated by comparing results by three methods

    Image inpainting considering symmetric patterns

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