Introduction to 3d Body
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3d Body sentence examples within Human 3d Body
3d Body sentence examples within Investigated 3d Body
The article presents an algorithm that implements the proposed method for programming systems embedded in CAD modules, and criteria for determining the type of the investigated 3D body angle.
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The article presents an algorithm that implements the proposed method for programming systems embedded in CAD modules, and criteria for determining the type of the investigated 3D body angle.
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3d Body sentence examples within 3d body pose
A DNN with two-stage cascaded structure was designed to estimate subjects' 3D body pose from images captured by camcorders.
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Recent advances in markerless motion capture enable full 3D body poses to be estimated from unconstrained video sources.
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3d Body sentence examples within 3d body scanning
Indeed, 3D body scanning technology has the ability to capture replicable and more consistent data sets than manual measurement collection.
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The possibilities and benefits of using 3D body scanning technologies in anthropometric studies are observed to explain options to improve the garment sizing and fit evaluation processes.
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3d Body sentence examples within 3d body scan
3d Body sentence examples within 3d body shape
To bridge the gap between the 3D body shape and fine-granularity voxel-level fat distribution, we present an innovative shape-based voxel-level body composition extrapolation method using multimodality registration.
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The objective of the present study was to test and validate tools that can record and analyze 3D body shapes of animals.
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3d Body sentence examples within 3d body scanner
3d Body sentence examples within 3d body model
The method involved creation of a dataset with 200,000 realistic depth images of a 3D body model, then training and testing numerous architectures including feedforward multilayer perceptron network and deep convolutional neural networks.
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Formidability was derived from assessments of physical strength and various anthropometric measures from full-body 3D scans and paired with measures of self-perceived and other-rated physical attractiveness (based on rotating morphometric 3D body models and facial photographs).
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3d Body sentence examples within 3d body measurement
Through the use of 3D body measurement technology and cardiopulmonary function test equipment, obtaining the body size data and basal metabolic rate of 116 young healthy subjects, this study aims to find the relationship between the size of human body and basal metabolic rate.
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In order to realize fast, accurate and device-lightweight 3D body measurement, this paper proposes a quick measurement scheme which obtains measurement results by combining multi-directional human point cloud data.
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3d Body sentence examples within 3d body image
Understanding the impact of seeing a virtual-self on body satisfaction is critical because earlier studies showed that people tend to have decreased body satisfaction after interacting with their 3D body images (Park, 2018; Ridgway, 2017; Saeidi & Romeo, 2017).
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The 3D body image perception visualization tool CALA offers a novel and innovative computer-assisted method for the realistic representation of body, phantom limb and pain perception.
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3d Body sentence examples within 3d body processing
The Institute of Electrical and Electronics Engineers 3D Body Processing Industry Connections group is conducting a Comparative Analysis of Measurement Methods of 3D Body Scans (project details are given in Working Group Progress for IEEE P3141 Standard for 3D Body Processing, 2018-2019).
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The 3D Body Processing (3DBP) Industry Connections Working Group, an adjunct group of IEEE P3141, Draft Standard for 3D Body Processing (3DBP), brings together diverse entities devoted to making recommendations for 3D body processing interoperability between creators and consumers of 3D body models.
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3d Body sentence examples within 3d body reconstruction
CONCLUSIONS
A novel approach to obtain 3D body reconstructions for patient positioning without requiring expensive hardware or dedicated graphic cards is proposed.
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Specifically, given an estimated IUV map, we develop a deep neural network optimizing 3D body reconstruction losses and further integrating a render-and-compare scheme to minimize differences between the input and the rendered output, i.
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3d Body sentence examples within 3d body joint
In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates.
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Furthermore, the target person's 3D trajectory is recovered based on the mapping of the 2d-3D body joints.
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3d Body sentence examples within 3d body mesh
3d Body sentence examples within 3d body angle
The article presents an algorithm that implements the proposed method for programming systems embedded in CAD modules, and criteria for determining the type of the investigated 3D body angle.
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The article presents an algorithm that implements the proposed method for programming systems embedded in CAD modules, and criteria for determining the type of the investigated 3D body angle.
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3d Body sentence examples within 3d body surface
Optical-CT dual-modality imaging requires the mapping between 2D fluorescence images and 3D body surface light flux.
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The aim of this study was to use and validate the Host Mesh Fitting (HMF) technique for fitting a generic anatomically based musculoskeletal model to 3D body surface data of individual subjects.
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Through the use of 3D body measurement technology and cardiopulmonary function test equipment, obtaining the body size data and basal metabolic rate of 116 young healthy subjects, this study aims to find the relationship between the size of human body and basal metabolic rate.
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Prediction accuracy was tested with the 3D body scan dataset of the Civilian American and European Surface Anthropometry Resource project.
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For chest, hip and waist measurements, the basic method is reliable to predict 3D body dimensions and indicate the right size from an existing collection.
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Indeed, 3D body scanning technology has the ability to capture replicable and more consistent data sets than manual measurement collection.
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A DNN with two-stage cascaded structure was designed to estimate subjects' 3D body pose from images captured by camcorders.
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Recent advances in markerless motion capture enable full 3D body poses to be estimated from unconstrained video sources.
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By explicitly learning and exploiting these joint relationships, our system achieves state-of-the-art performance on standard benchmarks for various pose tracking tasks including 3D body pose tracking in RGB video, 3D hand pose tracking in depth sequences, and 3D hand gesture tracking in RGB video.
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Prediction accuracy was tested with the 3D body scan dataset of the Civilian American and European Surface Anthropometry Resource project.
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The Institute of Electrical and Electronics Engineers 3D Body Processing Industry Connections group is conducting a Comparative Analysis of Measurement Methods of 3D Body Scans (project details are given in Working Group Progress for IEEE P3141 Standard for 3D Body Processing, 2018-2019).
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The possibilities and benefits of using 3D body scanning technologies in anthropometric studies are observed to explain options to improve the garment sizing and fit evaluation processes.
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To achieve the goal, we developed a mixed-methods strategy that consisted of the surveys, 3D body scanning, scenarios activities, and exit interviews, and conducted the study with 85 participants (47 males and 38).
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We capture color, infrared, depth and 3D body pose information from six views and densely label the videos with a hierarchical annotation scheme, resulting in 83 categories.
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To bridge the gap between the 3D body shape and fine-granularity voxel-level fat distribution, we present an innovative shape-based voxel-level body composition extrapolation method using multimodality registration.
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Understanding the impact of seeing a virtual-self on body satisfaction is critical because earlier studies showed that people tend to have decreased body satisfaction after interacting with their 3D body images (Park, 2018; Ridgway, 2017; Saeidi & Romeo, 2017).
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The method involved creation of a dataset with 200,000 realistic depth images of a 3D body model, then training and testing numerous architectures including feedforward multilayer perceptron network and deep convolutional neural networks.
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It successfully incorporates symmetry into a parametric model of the 3D body, formulating body geometric variations of both shape and pose using a triangular mesh representation.
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Formidability was derived from assessments of physical strength and various anthropometric measures from full-body 3D scans and paired with measures of self-perceived and other-rated physical attractiveness (based on rotating morphometric 3D body models and facial photographs).
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Our system's chest-mounted camera, equipped with the ultra-wide fisheye lens, covers the wearer's limbs and wide egocentric view; our pose estimation network estimates 3D body pose of the wearer from the camera's egocentric view.
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The 3D body image perception visualization tool CALA offers a novel and innovative computer-assisted method for the realistic representation of body, phantom limb and pain perception.
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Terminology and methodology of anthropometry were standardized in this technical committee (TC), moreover the standard of quality control methods for 3D body scanning was established.
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Template manikins derived from 3D body scans of the individual subjects also were used to improve accuracy.
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We propose a novel hybrid human 3D body pose estimation method that uses RGBD input.
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The objective of the present study was to test and validate tools that can record and analyze 3D body shapes of animals.
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We then retrieve the 3D body pose of the tracked character, ensuring throughout that the reconstructed movements are natural, satisfy the model constraints, are within a feasible set, and are temporally smooth without jitters.
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Development process is based on scanned 3D body models and parametric models customized according to different body shapes and sizes.
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We jointly optimize for 3D body pose and camera pose to robustly fit the 2D measurements.
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3D body shape data of Korean girls, Based on the 6th Size Korea data, analyzed statistically the upper body and breast according to the rate of growth.
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Sixty-five 3D body scans of plus size women, who self-identified as size 18W, were analyzed to determine how their chest/bust, waist and hip measures compared to the top three companies’ sizing schemes.
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While Physics-Based Simulation (PBS) can accurately drape a 3D garment on a 3D body, it remains too costly for real-time applications, such as virtual try-on.
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CONCLUSIONS
A novel approach to obtain 3D body reconstructions for patient positioning without requiring expensive hardware or dedicated graphic cards is proposed.
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The research established how well the measurements required for different drafting methods can be produced from 3D body scanning technology.
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In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates.
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Our model parses such radio signals and recovers 3D body meshes.
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A set of 52 body dimensions in each child was scanned with a laser-based 3D body scanner.
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In order to realize fast, accurate and device-lightweight 3D body measurement, this paper proposes a quick measurement scheme which obtains measurement results by combining multi-directional human point cloud data.
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However, this evaluation differs among customer segments: whereas quality-conscious fast fashion shoppers are mainly indifferent to technology improvements, other customer segments rate ‘3D Bodyscan’, ‘Barcode App’, ‘Click&Collect’, ‘iDressroom’, ‘iTerminal’, ‘Loc Aware App’, or ‘Self-Checkout’ as highly attractive.
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We show that Gen outperforms state-of-the-art probabilistic programming systems, sometimes by multiple orders of magnitude, on diverse problems including object tracking, estimating 3D body pose from a depth image, and inferring the structure of a time series.
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