Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval
Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …
with image features. However, it suffers from the high dimensionality of image features and …
Data understanding with PCA: structural and variance information plots
Principal Components Analysis (PCA) is a useful tool for discovering the relationships
among the variables in a data set. Nonetheless, interpretation of a PCA model may be tricky …
among the variables in a data set. Nonetheless, interpretation of a PCA model may be tricky …
[PDF][PDF] A survey on video-based graphics and video visualization.
In recent years, a collection of new techniques, which deal with videos as the input data,
emerged in computer graphics and visualization. In this survey, we report the state of the art …
emerged in computer graphics and visualization. In this survey, we report the state of the art …
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical aspects
This is the second paper of a series devoted to provide theoretical and practical results and
new algorithms for the selection of the number of Principal Components (PCs) in Principal …
new algorithms for the selection of the number of Principal Components (PCs) in Principal …
State of the art report on video‐based graphics and video visualization
In recent years, a collection of new techniques which deal with video as input data, emerged
in computer graphics and visualization. In this survey, we report the state of the art in video …
in computer graphics and visualization. In this survey, we report the state of the art in video …
Image-based 3D human pose recovery with locality sensitive sparse retrieval
C Hong, J Yu, X Chen - 2013 IEEE international conference on …, 2013 - ieeexplore.ieee.org
Image-based 3D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from high dimensionality of image features and low …
with image features. However, it suffers from high dimensionality of image features and low …
3D human pose recovery from image by efficient visual feature selection
In this paper we propose a new examplar-based approach to recover 3D human poses from
monocular images. Given the visual feature of each frame, pose retrieval is first conducted in …
monocular images. Given the visual feature of each frame, pose retrieval is first conducted in …
Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors
In this paper, a novel end-to-end system for the fast reconstruction of human actor
performances into 3D mesh sequences is proposed, using the input from a small set of …
performances into 3D mesh sequences is proposed, using the input from a small set of …
Missing-data theory in the context of exploratory data analysis
J Camacho - Chemometrics and Intelligent Laboratory Systems, 2010 - Elsevier
This paper proposes a new method for exploratory analysis and the interpretation of latent
structures. The approach is named missing-data methods for exploratory data analysis …
structures. The approach is named missing-data methods for exploratory data analysis …
Comparing evolutionary algorithms and particle filters for Markerless Human Motion Capture
E Yeguas-Bolivar, R Munoz-Salinas… - Applied Soft …, 2014 - Elsevier
Abstract Markerless Human Motion Capture is the problem of determining the joints' angles
of a three-dimensional articulated body model that best matches current and past …
of a three-dimensional articulated body model that best matches current and past …