Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

In recent years, the advances in data collection and statistical analysis promotes canonical
correlation analysis (CCA) available for more advanced research. CCA is the main …

Research on 3D human pose estimation based on deep neural networks has recently
witnessed substantial progress in both accuracy and execution efficiency. Many methods …

This chapter presents an overview of techniques used for the analysis, edition, and
synthesis of continuous time series, with a particular emphasis on motion data. The use of …

In minimally invasive surgery, tools go through narrow openings and manipulate soft organs
to perform surgical tasks. There are limitations in current robot-assisted surgical systems due …

Estimating 3D human pose from an annotated or detected 2D pose in a single RGB image is
a challenging problem. A successful way to address this problem is the example-based …

In this paper, we consider the problem of 2D human pose estimation on stereo image pairs.
In particular, we aim at estimating the location, orientation and scale of upper-body parts of …

In this article, we present a sequential approach for articulated motion estimation from a 2D
skeleton sequence. This is a challenging task due to the complexity of human movements …

多视图学习是将不同来源的特征子集加以融合的策略. 典型相关分析是多视图学习中的重要方法
, 旨在最大化不同视图之间的相关性. 传统的典型相关分析仅能计算两个视图之间的线性相关性 …

Research on single-person pose estimation based on deep neural networks has recently
witnessed progress in both accuracy and execution efficiency. However, multiperson pose …