Electronic Resource

Cage-based Performance Capture

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Penilaian

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Nowadays, highly-detailed animations of live-actor performances are increasingly easier to acquire and 3D Video has reached considerable attentions in visual media production. In this book, we address the problem of extracting or acquiring and then reusing non-rigid parametrization for video-based animations. At first sight, a crucial challenge is to reproduce plausible boneless deformations while preserving global and local captured properties of dynamic surfaces with a limited number of controllable, flexible and reusable parameters. To solve this challenge, we directly rely on a skin-detached dimension reduction thanks to the well-known cage-based paradigm. First, we achieve Scalable Inverse Cage-based Modeling by transposing the inverse kinematics paradigm on surfaces. Thus, we introduce a cage inversion process with user-specified screen-space constraints. Secondly, we convert non-rigid animated surfaces into a sequence of optimal cage parameters via Cage-based Animation Conversion. Building upon this reskinning procedure, we also develop a well-formed Animation Cartoonization algorithm for multi-view data in term of cage-based surface exaggeration and video-based appearance stylization. Thirdly, motivated by the relaxation of prior knowledge on the data, we propose a promising unsupervised approach to perform Iterative Cage-based Geometric Registration. This novel registration scheme deals with reconstructed target point clouds obtained from multi-view video recording, in conjunction with a static and wrinkled template mesh. Above all, we demonstrate the strength of cage-based subspaces in order to reparametrize highly non-rigid dynamic surfaces, without the need of secondary deformations. To the best of our knowledge this book opens the field of Cage-based Performance Capture.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000278	EB0000485	006.6 Sav c	Central Library	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.6 Sav c

Publisher

Switzerland : Springer Cham., 2014

Collation

x, 141p.: Ill.

Language

English

ISBN/ISSN

978-3-7091-1794-1

Classification

620.015

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Computer Vision

Specific Detail Info

-

Statement of Responsibility

RTS

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