Essays about: "3D object classification"

Showing result 1 - 5 of 21 essays containing the words 3D object classification.

1. 1. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fehmi Ayberk Uçkun; [2023]
   Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE

3. 2. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yu Hu; [2023]
   Keywords : Neural networks; point cloud; 3D shape generation; 3D shape manipulation; classification; Neurala nätverk; punktmoln; generering av 3D-former; manipulation av 3Dformer; klassificering;

   Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE

4. 3. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Anna Phan; Rogelio Medina; [2022]
   Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

   Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE

5. 4. New object grasp synthesis with gripper selection: process development

   University essay from Jönköping University/JTH, Avdelningen för datavetenskap

   Author : Tanguy Legrand; [2022]
   Keywords : grasps pose synthesis; point cloud classification; point cloud regression; machine learning; 3D model; CAD model; robotic grasping; pick and place; gripper selection;

   Abstract : A fundamental aspect to consider in factories is the transportation of the items at differentsteps in the production process. Conveyor belts do a great to bring items from point A topoint B but to load the item onto a working station it can demands a more precise and,in some cases, delicate approach. READ MORE

6. 5. Deep neural network for object classification and optimization algorithms for 3D positioning in Ultrasonic Sensor Array

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Hui Zhang; [2021]
   Keywords : ultrasonic sensor; simulation; CNN; optimization; localization; object classification;

   Abstract : Ultrasonic sensors are commonly used in automobiles to assist driving maneuvers, e.g., parking, because of their cost-effectiveness and robustness. READ MORE