Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 2 of 2 for “"Red Green Blue Depth (RGB-D)"”.

  1. A Proof of Concept for a Machine Learning Algorithm to Screen for Adolescent Idiopathic Scoliosis Using Images Captured with Modern Smartphone Technology

    … use images taken with a smartphone containing a depth sensor to create a simple and effective machine learning (ML) algorithm that can detect the absence or presence of scoliosis. Secondarily, this thesis project aims to 1) provide a proof of concept for a regression-based ML algorithm that can …

    ottawa-retro Repository record for A Proof of Concept for a Machine Learning Algorithm to Screen for Adolescent Idiopathic Scoliosis Using Images Captured with Modern Smartphone Technology (opens in a new tab)

  2. From interest points to map transformation: a discussion of RGB-D SLAM and its applications

    … SLAM using a single handheld projected-IR RGB-D camera. It focuses primarily on the use of different interest point detectors, their descriptor extractors, and their matchers in the estimation of pairwise alignment of frames captured using such a sensor. Such estimates give the initial pose …

    uiuc Repository record for From interest points to map transformation: a discussion of RGB-D SLAM and its applications (opens in a new tab)