This thesis introduces a novel approach to tackle the problem of estimating the pose of an hand from a single depth frame. We will come up with a scheme for finger and palm regions extraction, followed by a Mixed Integer Programming formulation to complete the process of finger segmentation. A key idea is a novel method which is able to rearrange the hand point cloud, through a simple transformation, in a way that better fits for recognizing its structure

An integer programming approach to hand pose estimation using depth data

Minto, Ludovico
2014/2015

Abstract

This thesis introduces a novel approach to tackle the problem of estimating the pose of an hand from a single depth frame. We will come up with a scheme for finger and palm regions extraction, followed by a Mixed Integer Programming formulation to complete the process of finger segmentation. A key idea is a novel method which is able to rearrange the hand point cloud, through a simple transformation, in a way that better fits for recognizing its structure
2014-07-14
depth, hand, pose, hand pose estimation, integer linear programming, segmentation, clustering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/18568