Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
Human motion is a key property to understand human’s knowledge and intention. A service technician moves to achieve his duty: facility maintenance. The series of his motions is t...
Abstract— We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical ...
In this paper we present a system that can synthesise novel motion sequences from a database of motion capture examples. This is achieved through learning a statistical model from...