Essays about: "3D instance segmentation"

Showing result 1 - 5 of 8 essays containing the words 3D instance segmentation.

1. 1. Instance segmentation using 2.5D data

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Jonathan Öhrling; [2023]
   Keywords : instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

   Abstract : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. READ MORE

3. 2. Point clouds in the application of Bin Picking

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Abhijeet Anand; [2023]
   Keywords : Point clouds; Computer vision; 3D instance segmentation; Point cloud registration; Deep learning; Clustering;

   Abstract : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. READ MORE

4. 3. Automatic segmentation of microstructures in metals : A computer vision approach

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

   Author : Oscar Larsen; [2022]
   Keywords : Image Processing; Computer Vision; Machine Learning; Deep Learning; Metallurgy; Segmentation; Bildbehandling; Datorseende; Maskininlärning; Djupinlärning; Metallurgi; Segmentering;

   Abstract : The microstructures of a metal determine the physical, electrical and chemical properties of the metal, and analysis of microstructures is therefore an important part of materials science. Modern microscopes are capable of generating a lot of high-quality micrographs in a short period of time. READ MORE

5. 4. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Tsehaie Russom; [2022]
   Keywords : Synthetic Training Dataset; Geometrical Defect Detection; Instance Segmentation; Data Augmentation Techniques; Mask R-CNN; Transformers; Syntetisk Träningsdataset; Detektion av Geometriska Defekter; Instanssegmentering; Tekniker för Dataaugmentering; Mask R-CNN; Transformers;

   Abstract : Quality inspection is an essential part of almost any industrial production line. However, designing customized solutions for defect detection for every product can be costlyfor the production line. This is especially the case for short-series production, where theproduction time is limited. READ MORE

6. 5. Point Cloud Data Augmentation for 4D Panoptic Segmentation

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

   Author : Wangkang Jin; [2022]
   Keywords : Point Cloud; Data Augmentation; 4D panoptic segmentation; Deep Learning; 3D Perception; Autonomous Driving; Punktmoln; Dataökning; 4D panoptisk segmentering; Djup lärning; 3D Perception; 3D Uppfattning; Autonom körning;

   Abstract : 4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection limits the size of existing point cloud datasets. READ MORE