Essays about: "Point set registration"
Showing result 1 - 5 of 13 essays containing the words Point set registration.
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1. Design suggestion for a Point of Sale system for the café industry
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : An order at a café involves mainly the customer, the café worker, and the cash register. Today, cash registers use a system called a Point of Sale (POS) system that manages the registration of an order as well as the payment. Because of this it is crucial for the tradition of “fika” in Sweden. READ MORE
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2. Machine Learning for LiDAR-SLAM : In Forest Terrains
University essay from Linköpings universitet/DatorseendeAbstract : Point set registration is a well-researched yet still not a very exploited area in computer vision. As the field of machine learning grows, the possibilities of application expand. READ MORE
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3. Development of an ICP-based Global Localization System
University essay from Linköpings universitet/ReglerteknikAbstract : The most common way to track the position of a vehicle is by using the Global Navigation Satellite System (GNSS). Unfortunately, there are many scenarios where GNSS is inaccessible or provides low precision, and it can therefore be vulnerable to only rely on GNSS. READ MORE
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4. Skull Reconstruction Using Statistical Shape Models
University essay from Lunds universitet/Matematik LTHAbstract : In case of a head injury or trauma a surgeon opens up the skull by removing a bone piece of the skull to either relieve pressure or get access to brain tissue. The first option is to follow up with putting back the same skull piece. READ MORE
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5. Deep Learning Based Deformable Image Registration of Pelvic Images
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Deformable image registration is usually performed manually by clinicians,which is time-consuming and costly, or using optimization-based algorithms, which are not always optimal for registering images of different modalities. In this work, a deep learning-based method for MR-CT deformable image registration is presented. READ MORE