Eric M. Meisner

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Three-dimensional (3D) reconstruction of images acquired during endoscopy presents an enormous opportunity for computer vision, however reconstructing geometry from such images is challenging due to lack of features. Shape From Shading (SFS) is an approach to obtain the shape of an object from a single image, but most current methods that are applicable to(More)
OBJECTIVES/HYPOTHESIS To evaluate the accuracy of three-dimensional (3D) airway reconstructions obtained using quantitative endoscopy (QE). We developed this novel technique to reconstruct precise 3D representations of airway geometries from endoscopic video streams. This method, based on machine vision methodologies, uses a post-processing step of the(More)
In retinal surgery, surgeons face difficulties such as indirect visualization of surgical targets, physiological tremor, and lack of tactile feedback, which increase the risk of retinal damage caused by incorrect surgical gestures. In this context, intraocular proximity sensing has the potential to overcome current technical limitations and increase(More)
All Rights Reserved ii ABSTRACT In order for robots to assist and interact with humans, they must be socially intelligent. Social intelligence is the ability to communicate and understand meaning through social interaction. Artificial intelligence can be broadly described, as an effort to describe and simulate the property of human intelligence inside of a(More)
The purpose of this paper will be to describe a method for performing concurrent mapping and localization, by extracting more accurate information from Polaroid sonars on a mobile robot. This paper outlines an attempt to cast the problem of noisy sensor data as a computer vision problem, and then apply basic vision techniques, such as the Hough transform(More)
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