Aximorphic Perspective Projection Model for Immersive Imagery

Fuente: arXiv
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Autore principale: Fober, Jakub Maksymilian
Natura: Preprint
Pubblicazione: 2021
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author Fober, Jakub Maksymilian
author_facet Fober, Jakub Maksymilian
contents A wide choice of cinematic lenses enables motion-picture creators to adapt image visual-appearance to their creative vision. Such choice does not exist in the realm of real-time computer graphics, where only one type of perspective projection is widely used, a linear perspective. This paper presents an extended perspective imaging model, which can represent distortion and FoV parameters of entire variety of film and photographic lenses (e.g., wide-angle, fisheye, anamorphic), while preserving parametrization in an artistically convincing manner. Self-experimentation with the model revealed that each projection type provides accurate perception of a different aspect of depicted space (e.g., speed, distance, shape). Presented model, enables combination of multiple projections, each on a different axis of the image, to achieve optimal perception for a given scenario. This new projection, named aximorphic, was made available here, under an open license (CC BY-SA 3.0), for a wide and easy adoption.
format Preprint
id arxiv_https___arxiv_org_abs_2102_12682
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Aximorphic Perspective Projection Model for Immersive Imagery
Fober, Jakub Maksymilian
Graphics
Image and Video Processing
I.3.3; I.4.3; J.5; I.3.6; I.4.1; I.2.10
A wide choice of cinematic lenses enables motion-picture creators to adapt image visual-appearance to their creative vision. Such choice does not exist in the realm of real-time computer graphics, where only one type of perspective projection is widely used, a linear perspective. This paper presents an extended perspective imaging model, which can represent distortion and FoV parameters of entire variety of film and photographic lenses (e.g., wide-angle, fisheye, anamorphic), while preserving parametrization in an artistically convincing manner. Self-experimentation with the model revealed that each projection type provides accurate perception of a different aspect of depicted space (e.g., speed, distance, shape). Presented model, enables combination of multiple projections, each on a different axis of the image, to achieve optimal perception for a given scenario. This new projection, named aximorphic, was made available here, under an open license (CC BY-SA 3.0), for a wide and easy adoption.
title Aximorphic Perspective Projection Model for Immersive Imagery
topic Graphics
Image and Video Processing
I.3.3; I.4.3; J.5; I.3.6; I.4.1; I.2.10
url https://arxiv.org/abs/2102.12682