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Activity Number: 347 - Contributed Poster Presentations: Section on Statistics in Imaging
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Imaging
Abstract #324132
Title: Illustration of 3D Projective Shape and Kendall Shape Reconstructions from Digital Outputs
Author(s): Daniel E Osborne* and Vic Patrangenaru
Companies: Florida A&M University and Florida State University
Keywords: Projective Shape ; 3D Reconstruction ; Projective Transformation ; Kendall Shape
Abstract:

Over the past two decades, digital images have increasingly becoming more accessible due to the technological advancements of computers, cellular phones, and digital cameras. Stereo cameras historically were used to simulate human binocular vision. A stereo camera is a type of camera with two or more lenses with a separate image sensor or film frame for each lens. This feature gave stereo cameras the ability to capture three-dimensional images. Human vision and pinhole camera image acquisition are based on a central projection principle. Moreover, two or more images of the same planar scene, in pixel coordinates, acquired by an ideal pinhole digital camera differ by a projective transformation of R^2. In this work, we illustrate some advantages of using two or more images of the same 3D scene for retrieval of the spatial information. This includes capturing the visual shape and texture of the object in the same 3D scene of images. All images were acquired using a basic digital camera. We conclude this paper by providing preliminary Kendall Shape results to a study were we use 2D stereographic images that were taken on the same sample of Rhesus monkeys before and after receiving an eye injection, inducing glaucoma-like Intra-Ocular Pressure (IOP) in one of their eyes, while keeping the other eye as control.


Authors who are presenting talks have a * after their name.

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