Essays about: "Pose recognition"
Showing result 6 - 10 of 52 essays containing the words Pose recognition.
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6. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : As the demand for 3D maps from LIDAR scanners increases, delivering high-quality maps becomes critical. One way to ensure the quality of such maps is through point cloud alignment classification, which aims to classify the alignment error between two registered point clouds. READ MORE
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7. Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Automated pain assessment is emerging as an essential part of pain management in areas such as healthcare, rehabilitation, sports and fitness. These automated systems are based on machine learning applications and can provide reliable, objective and cost-effective benefits. READ MORE
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8. Nuvarande och framtida tillämpning av automatiserad mönsterigenkänning inom ekologi : Applicering av bildigenkänningsprogram inom ett kamerafällaprojekt i viltreservatet Ol Pejeta, Kenya
University essay from SLU/Dept. of Animal Environment and HealthAbstract : Recent technical advancements within the field of ecology have increased the ability to collect scientific data. This change in effectivization contrast the time consuming process of processing said data. This effectivization is exemplified in the use of camera traps for ecological research. READ MORE
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9. Submap Correspondences for Bathymetric SLAM Using Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Underwater navigation is a key technology for exploring the oceans and exploiting their resources. For autonomous underwater vehicles (AUVs) to explore the marine environment efficiently and securely, underwater simultaneous localization and mapping (SLAM) systems are often indispensable due to the lack of the global positioning system (GPS). READ MORE
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10. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. READ MORE