Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782223
Title: E-StopMotion : reconstructing and enhancing 3D animation of stop motion characters by reverse engineering plasticine deformation
Author: Ciucanu, Anamaria
ISNI:       0000 0004 7967 8294
Awarding Body: University of Bath
Current Institution: University of Bath
Date of Award: 2019
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Abstract:
Stop motion animation is a popular creative medium with applications across film, games, education and health industries. Traditionally this type of animation has been known as a two dimensional (2D) art form, where the artist iteratively deforms a character and then takes photographs of it. The artist's task can be overwhelming as he has to reshape a character into hundreds of poses to obtain just a few seconds of animation. Moreover, features that took a lot of effort to create remain unseen due to the preferred 2D method of visualization. The current project was a collaboration between Fat Pebble Games Studio and the Centre for Digital Entertainment (CDE) from the University of Bath. The aim was to create a novel pipeline for reconstructing and enhancing stop motion animation from three dimensional (3D) character scans, obtained from multi-view images. Deformation, non-rigid registration and interpolation techniques were used to fulfil this aim. These procedures were aided by information about the material a character is made from and the character's structure. The underling inquiry of the project was to see whether reverse engineering the artist's plasticine modelling process can result in physically plausible deformations between scans and more accurate non-rigid registrations. Message: A specialized pipeline for animation reconstruction and enhancement of handmade, plasticine characters can be created by combining deformation, non-rigid registration and interpolation. These techniques can be adapted to imitate the physical properties of plasticine, by including information about the material and structure of the original models.
Supervisor: Campbell, Neill ; Cosker, Darren Sponsor: Not available
Qualification Name: Thesis (Eng.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.782223  DOI: Not available
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