Novel view synthesis in tensor space

Shai Avidan, Amnon Shashua

Research output: Contribution to journalConference articlepeer-review

Abstract

We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from a given tensor of three views to a novel tensor of a new configuration of three views. By repeated application of the operator on a seed tensor with a sequence of desired virtual camera positions we obtain a chain of warping functions (tensors) from the set of model images to create the desired virtual views.

Original languageEnglish
Pages (from-to)1034-1040
Number of pages7
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: 17 Jun 199719 Jun 1997

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