A Riemannian Framework for Analysis of Human Body Surface

Pierson, Emery; Daoudi, Mohamed; Tumpach, Alice-Barbara

Type de document :

Communication dans un congrès avec actes

Titre :

A Riemannian Framework for Analysis of Human Body Surface

Auteur(s) :

Pierson, Emery [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Daoudi, Mohamed [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Tumpach, Alice-Barbara [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Wolfgang Pauli Institute [WPI]

Titre de la manifestation scientifique :

Winter Conference on Applications of Computer Vision

Ville :

HAWAII

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2022-01-04

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

Résumé en anglais : [en]

We propose a novel framework for comparing 3D human shapes under the change of shape and pose. This problem is challenging since 3D human shapes vary significantly across subjects and body postures. We solve this problem ...
Lire la suite >We propose a novel framework for comparing 3D human shapes under the change of shape and pose. This problem is challenging since 3D human shapes vary significantly across subjects and body postures. We solve this problem by using a Riemannian approach. Our core contribution is the mapping of the human body surface to the space of metrics and normals. We equip this space with a family of Riemannian metrics, called Ebin (or DeWitt) metrics. We treat a human body surface as a point in a "shape space" equipped with a family of Riemmanian metrics. The family of metrics is invariant under rigid motions and reparametrizations; hence it induces a metric on the "shape space" of surfaces. Using the alignment of human bodies with a given template, we show that this family of metrics allows us to distinguish the changes in shape and pose. The proposed framework has several advantages. First, we define family of metrics with desired invariant properties for the comparison of human shape. Second, we present an efficient framework to compute geodesic paths between human shape given the chosen metric. Third, this framework provides some basic tools for statistical shape analysis of human body surfaces. Finally, we demonstrate the utility of the proposed framework in pose and shape retrieval of human body.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Human4D: Acquisition, Analyse et Synthèse de la Forme du Corps Humain en Mouvement
ULNE

Collections :

Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL

Fichiers

document
Accès libre
Accéder au document

ArxivWACV21-7.pdf
Accès libre
Accéder au document

document
Accès libre
Accéder au document

ArxivWACV21-7.pdf
Accès libre
Accéder au document

A Riemannian Framework for Analysis of ... BibTeX CSV Excel RIS

Fichiers

A Riemannian Framework for Analysis of ...

BibTeX

CSV

Excel

RIS