RGB-D 정보를 이용한 2차원 키포인트 탐지 기반3차원 인간 자세 추정 방법
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저자
박서희
지명근
전준철
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제어번호
105974082
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학술지명
인터넷정보학회논문지
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권호사항
Vol.
19
No.
6
[
2018
]
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발행처
한국인터넷정보학회
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발행처 URL
http://www.ksii.or.kr
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자료유형
학술저널
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수록면
41-51
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언어
Korean
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출판년도
2018
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등재정보
KCI등재
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판매처
'
RGB-D 정보를 이용한 2차원 키포인트 탐지 기반3차원 인간 자세 추정 방법' 의 참고문헌
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Stereo Processing by Semiglobal Matching and Mutual Information
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Stacked hourglass networks for human pose estimation
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Sparseness meets deepness:3D human pose estimation from monocular video
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Reconstructing 3d human pose from 2d image landmarks
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Pose machines: Articulated pose estimation via inference machines
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OpenPose: A Real-Time Multi-Person Keypoint Detection and Multi-Threading C++ Library
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Marker-less 3d human motion capture with monocular image sequence and height-maps
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Lifting from the deep: Convolutional 3d pose estimation from a single image
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Improved adaptive Gaussian mixture model for background subtraction
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HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
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Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
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Direct prediction of 3d body poses from motion compensated sequences
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Deep kinematic pose regression
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ConVol.utional pose machines
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A survey on object detection and tracking methods
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A simple yet effective baseline for 3d human pose estimation
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3d human pose estimation = 2d pose estimation + matching
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3D human pose estimation using convolutional neural networks with 2D pose information
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'
RGB-D 정보를 이용한 2차원 키포인트 탐지 기반3차원 인간 자세 추정 방법'
의 유사주제(
) 논문