Pose Estimation with Multiple Sources Using Evolutionary Algorithms (original) (raw)

Multi-view Evolutionary Strategy Consensus based Pose

2021

In this paper, we propose a framework for rapidly estimating three-dimensional human pose from two camera views. It is based on an evolutionary algorithm. This system can be applied straightforwardly to inexpensive smart devices and used to evaluate multiple individuals’ calisthenics with two or more smart devices. On the other hand, in order to verify and evaluate input, Evolutionary Strategy Consensus was introduced to estimate fundamental matrix between views. The result shows that two dimensional position of human joints can be estimated into three dimensional pose even with errors.

Evolutionary model-based pose estimation for variable configuration objects

Proceedings of the 5th WSEAS …, 2006

Abstract:-The work presented in this paper concerns visual-based relative navigation of autonomous vehicles for satellite service. An evolutionary-based algorithm for the problem of pose estimation of 3D objects using 2D images is presented. The procedure consists on looking for six position parameters, three for rotation and three for translation, such that the projection of a model best fits a set of points (vertices) extracted from a 2D image. Distinguishing feature of the proposed algorithm is that the best matching model is also ...