The human pose estimation is a significant issue that has been taken into consideration in
the computer vision network for recent decades. It is a vital advance toward understanding …

Following the success of deep convolutional networks, state-of-the-art methods for 3d
human pose estimation have focused on deep end-to-end systems that predict 3d joint …

In this work, we address the problem of 3D human pose estimation from a sequence of 2D
human poses. Although the recent success of deep networks has led many state-of-the-art …

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in
natural images. Key to our approach is the generation and scoring of a number of pose …

This paper addresses the problem of 3D human pose estimation from a single image. We
follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and …

We present a novel 3D pose estimation method based on joint interdependency (JI) for
acquiring 3D joints from the human pose of an RGB image. The JI incorporates the body part …

In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss
the fundamental models for regression and classification and also their training with the …

While research on articulated human motion and pose estimation has progressed rapidly in
the last few years, there has been no systematic quantitative evaluation of competing …

(54) METHOD AND APPARATUS FOR(58) Field of Classification Search ESTMLATING
BODY SHAPE CPC combination set (s) only. See application file for complete search …

One major challenge for 3D pose estimation from a single RGB image is the acquisition of
sufficient training data. In particular, collecting large amounts of training data that contain …