Essays about: "Room segmentation"
Showing result 1 - 5 of 9 essays containing the words Room segmentation.
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1. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE
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2. Automatic magnetic resonance brain volume measurements to assess the effect of minimised blood sample extraction on brain development in extremely preterm infants
University essay from Lunds universitet/LäkarutbildningenAbstract : Aim: To evaluate a pipeline for automatic MRI brain segmentation and volumetric tissue structure quantification in a cohort of extremely preterm infants. Methods: 13 extremely preterm neonates underwent MRI-scanning at a term equivalent age. Seven of these subjects had suitable MRI sequences and were analyzed in the pipeline. READ MORE
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3. Learning from Synthetic Data : Towards Effective Domain Adaptation Techniques for Semantic Segmentation of Urban Scenes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are difficult to collect due to the high cost of annotating images at pixel-level. READ MORE
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4. Developing robust algorithms for feature extraction in images of polymer layers
University essay from Lunds universitet/Matematisk statistikAbstract : Automated manufacturing processes are an important component of today’s industries. Assuming the processes are properly maintained they allow for great efficiency when producing various goods. Image analysis can be used as a tool to monitor such processes and evaluate their results. READ MORE
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5. Semantic and Instance Segmentation of Room Features in Floor Plans using Mask R-CNN
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Machine learning techniques within Computer Vision are rapidly improving computers' high-level understanding of images, thus revealing new opportunities to accomplish tasks that previously required manual intervention from humans. This paper aims to study where the current machine learning state-of-the-art is when it comes to parsing and segmenting bitmap images of floor plans. READ MORE