トウカガタ デンシ ケンビキョウ 二 ヨル カーボン ナノ チューブ ナイホウ ナノ ケッショウ ノ コウゾウ カイセキ

This is the author's version of a work that was accepted for publication in Surface and Interface Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Surface and Interface Analysis, 44(6), 2013, DOI: 10.1002/sia.3874This an author's original PDF of an article accepted for publication in Microscopy. The version of record Microscopy, 62(2), pp.271-282, 2013 is available online at: http://jmicro.oxfordjournals.org/content/62/2/271.abstractThis an author's original PDF of an article accepted for publication in Microscopy. The version of record Microscopy, 62(3), pp.405-410, 2013 is available online at: http://jmicro.oxfordjournals.org/content/62/3/405.abstractThis is the author's version of a work that was accepted for publication in Surface and Interface Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Surface and Interface Analysis, 44(6), 2013, DOI: 10.1002/sia.387

Gait Identification Considering Body Tilt byWalking Direction Changes

Gait identification has recently gained attention as a method of identifying individuals at a distance. Thought most of the previous works mainly treated straight-walk sequences for simplicity, curved-walk sequences should be also treated considering situations where a person walks along a curved path or enters a building from a sidewalk. In such cases, person's body sometimes tilts by centrifugal force when walking directions change, and this body tilt considerably degrades gait silhouette and identification performance, especially for widely-used appearance-based approaches. Therefore, we propose a method of body-tilted silhouette correction based on centrifugal force estimation from walking trajectories. Then, gait identification process including gait feature extraction in the frequency domain and learning of a View Transformation Model (VTM) follows the silhouette correction. Experiments of gait identification for circular-walk sequences demonstrate the effectiveness of the proposed method

Musculoskeletal Estimation Using Inertial Measurement Units and Single Video Image

International audienceWe address the problem of estimating the physical burden of a human body. This translates to monitor and estimate muscle tension and joint reaction forces of a mus-culoskeletal model in real-time. The system should minimize the discomfort generating by any sensors that needs to be fixed on the user. Our system combines a 3D pose estimation from vision and IMU sensors. We aim to minimize the number of IMU fixed to the subject while compensating the remaining lack of information with vision

大規模観測対象のための幾何および光学情報の統合

University of Tokyo (東京大学

Multiview Projectors/Cameras System for 3D Reconstruction of Dynamic Scenes

International audienceActive vision systems are usually limited to either partial or static scene reconstructions. In this paper, we propose to acquire the entire 3D shape of a dynamic scene. This is performed using a multiple projectors and cameras system, that allows to recover the entire shape of the object within a single scan at each frame. Like previous approaches, a static and simple pattern is used to avoid interferences of multiple patterns projected on the same object. In this paper, we extend the technique to capture a dense entire shape of a moving object with accuracy and high video frame rate. To achieve this, we mainly propose two additional steps; one is checking the consistency between the multiple cameras and projectors, and the other is an algorithm for light sectioning based on a plane parameter optimization. In addition, we also propose efficient noise reduction and mesh generation algorithm which are necessary for practical applications. In the experiments, we show that we can successfully reconstruct dense entire shapes of moving objects. Results are illustrated on real data from a system composed of six projectors and six cameras that was actually built