The 3D reconstruction of complex human motions from 2D color images is a challenging
and sometimes intractable problem. The pose estimation problem becomes more feasible …

This paper presents a novel system to estimate body pose configuration from a single depth
map. It combines both pose detection and pose refinement. The input depth map is matched …

Unsupervised categorization of objects is a fundamental problem in computer vision. While
appearance-based methods have become popular recently, other important cues like …

In this paper, we developed a golf position analysis system with an inertial sensor and swing
motion analysis algorithm that can be used in golf courses. Specifically, we developed a …

The integration of machine learning techniques and cartoon animation research is fast
becoming a hot topic. This book helps readers learn the latest machine learning techniques …

We propose a novel approach to establish the relative pose of a mobile robot with respect to
an operator that wants to interact with it; we focus on scenarios in which the robot is in the …

This paper describes an autonomous kinematic analysis platform for wrist angle
measurement that is capable of evaluating a user's uncocking motion in his or her golf swing …

In this paper we present a novel method to reconstruct the 3D posture of flying bats from
sparse multiple view video. Specifically, we incorporate biomechanical and geometric …

We propose an approach to estimate the 3D pose of a human hand while gras** objects
from a single RGB image. Our approach is based on a probabilistic model implemented with …

Many scenes that we would like to reconstruct contain articulated objects, and are often
captured by only a single, non-fixed camera. Existing techniques for reconstructing …