45 Result(s)
within
Artificial Intelligence
Pattern Recognition
**ya Sato
Chapter
Conference Paper
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Chapter and Conference Paper
Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model
We propose a method to construct patient-specific musculoskeletal model using a template obtained from a high fidelity cadaver images. Musculoskeletal simulation has been traditionally performed using a string-ty...
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Chapter and Conference Paper
Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition
We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on egocentric manipulation task...
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Chapter and Conference Paper
Measuring Refractive Properties of Human Vision by Showing 4D Light Fields
In this paper, we propose a novel method for measuring refractive properties of human vision. Our method generates a special 4D light field and present it to human observers, so that the observers will see dif...
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Chapter and Conference Paper
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images
We propose an optimization method for estimating patient-specific muscle fiber arrangement from clinical CT. Our approach first computes the structure tensor field to estimate local orientation, then a geometr...
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Chapter and Conference Paper
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
In transmitted light microscopy, a specimen tends to be observed as unclear. This is caused by a phenomenon that an image sensor captures the sum of these scattered light rays traveled from different paths due...
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Chapter and Conference Paper
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
In this paper, we focus on semi-supervised learning for biomedical image segmentation, so as to take advantage of huge unlabelled data. We observe that there usually exist some homogeneous connected areas of l...
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Chapter and Conference Paper
Showing Different Images to Observers by Using Difference in Retinal Impulse Response
In this paper, we propose a novel method for displaying different images to individual observers by using the difference of temporal response characteristics of these observers. The temporal response character...
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Chapter and Conference Paper
Downtown Osaka Scene Text Dataset
This paper presents a new scene text dataset named Downtown Osaka Scene Text Dataset (in short, DOST dataset). The dataset consists of sequential images captured in shop** streets in downtown Osaka with an o...
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Chapter and Conference Paper
Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition
Photoacoustic (PA) imaging has been gaining attention as a new imaging modality that can non-invasively visualize blood vessels inside biological tissues. In the process of imaging large body parts through mul...
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Chapter and Conference Paper
Shape from Water: Bispectral Light Absorption for Depth Recovery
This paper introduces a novel depth recovery method based on light absorption in water. Water absorbs light at almost all wavelengths whose absorption coefficient is related to the wavelength. Based on the Bee...
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Chapter and Conference Paper
Visual Motif Discovery via First-Person Vision
Visual motifs are images of visual experiences that are significant and shared across many people, such as an image of an informative sign viewed by many people and that of a familiar social situation su...
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Chapter and Conference Paper
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries
Image guidance plays a central role in minimally invasive fetal surgery such as photocoagulation of inter-twin placental anastomosing vessels to treat twin-to-twin transfusion syndrome (TTTS). Fetoscopic guida...
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Chapter and Conference Paper
A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels
Intrauterine interventions such as twin-to-twin transfusion syndrome procedure require accurate map** of the fetal placental vasculature to ensure complete photocoagulation of vascular anastomoses. However, ...
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Chapter and Conference Paper
Depth and Arbitrary Motion Deblurring Using Integrated PSF
In recent years, research for recovering depth blur and motion blur in images has been making a significant progress. In particular, the progress in computational photography enabled us to generate all-in-focu...
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Chapter and Conference Paper
A Liver Atlas Using the Special Euclidean Group
An atlas is a shape model derived using statistics of a population. Standard models treat local deformations as pure translations and apply linear statistics. They are often inadequate for highly variable anat...
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Chapter and Conference Paper
Interreflection Removal Using Fluorescence
Interreflections exhibit a number of challenges for existing shape-from-intensity methods that only assume a direct lighting model. Removing the interreflections from scene observations is of broad interest si...
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Chapter and Conference Paper
Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants
The spectrum behavior of a typical fluorescent object is regulated by its reflectance, absorption and emission spectra. It was shown that two high-frequency and complementary illuminations in the spectral doma...
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Chapter and Conference Paper
Regression Based Trajectory Learning and Prediction for Human Motion
This paper presents a method for learning and predicting human motion in closed environments.
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Chapter and Conference Paper
SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection
We propose a method for accelerating computation of an object detector based on a linear classifier when objects are expressed by binary feature vectors. Our key idea is to decompose a real-valued weight vecto...
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Chapter and Conference Paper
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
Segmentation of the femur and pelvis is a prerequisite for patient-specific planning and simulation for hip surgery. Accurate boundary determination of the femoral head and acetabulum is the primary challenge ...
