We present a data-driven approach to build a human body model from a single photograph by performing Principal Component Analysis (PCA) on a database of body segments.We segment a collection of human bodies to compile the required database prior to performing the analysis. Our approach then builds a single PCA for each body segment - head, left and right arms, torso and left and right legs - yielding six PCAs in total. This strategy improves on the flexibility of conventional data-driven approaches in 3D modeling and allows our approach to take variations in ethnicity, age and body posture into account. We demonstrate our approach in practice by constructing models of a Caucasian male, an Asian male and a toddler from corresponding photogra...
Statistical models of 3D human shape and pose learned from scan databases have developed into valuab...
3D digitalization of the human body has been studied extensively for various applications in anthrop...
This paper presents two algorithms, one monocular-camera and one multiple-view camera based, to esti...
We introduce a data-driven approach to build a human body model from a single photograph by performi...
In this paper, we present a method for parametric human body shape modeling based on a statistical a...
Analysis on a dataset of 3D scanned surfaces have presented problems because of incompleteness on th...
Principle Component Analysis (PCA) has been used to establish statistical models for analyzing diffe...
We propose a novel approach for reconstructing plausible three-dimensional (3D) human body models fr...
We propose a novel approach for reconstructing high-resolution 3D human body models from extremely s...
Characterizing the variations of the human body shape is fundamentally important in many application...
Characterizing the variations of the human body shape is fundamentally important to many application...
International audienceThis paper presents a novel approach to estimate the human pose from a body-sc...
Analyzing human shape variability is important for human system engineering and for animation applic...
Statistical models of 3D human shape and pose learned from scan databases have developed into valuab...
3D digitalization of the human body has been studied extensively for various applications in anthrop...
Statistical models of 3D human shape and pose learned from scan databases have developed into valuab...
3D digitalization of the human body has been studied extensively for various applications in anthrop...
This paper presents two algorithms, one monocular-camera and one multiple-view camera based, to esti...
We introduce a data-driven approach to build a human body model from a single photograph by performi...
In this paper, we present a method for parametric human body shape modeling based on a statistical a...
Analysis on a dataset of 3D scanned surfaces have presented problems because of incompleteness on th...
Principle Component Analysis (PCA) has been used to establish statistical models for analyzing diffe...
We propose a novel approach for reconstructing plausible three-dimensional (3D) human body models fr...
We propose a novel approach for reconstructing high-resolution 3D human body models from extremely s...
Characterizing the variations of the human body shape is fundamentally important in many application...
Characterizing the variations of the human body shape is fundamentally important to many application...
International audienceThis paper presents a novel approach to estimate the human pose from a body-sc...
Analyzing human shape variability is important for human system engineering and for animation applic...
Statistical models of 3D human shape and pose learned from scan databases have developed into valuab...
3D digitalization of the human body has been studied extensively for various applications in anthrop...
Statistical models of 3D human shape and pose learned from scan databases have developed into valuab...
3D digitalization of the human body has been studied extensively for various applications in anthrop...
This paper presents two algorithms, one monocular-camera and one multiple-view camera based, to esti...