Essays about: "Keypoint Detector"

Showing result 1 - 5 of 6 essays containing the words Keypoint Detector.

1. 1. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

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

   Author : Maira Khan; [2023]
   Keywords : CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

   Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE

3. 2. CenterPoint-based 3D Object Detection in ONCE Dataset

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

   Author : Yuwei Du; [2022]
   Keywords : 3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

   Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE

4. 3. Unsupervised Learning for Structure from Motion

   University essay from Linköpings universitet/Datorseende

   Author : Erik Örjehag; [2021]
   Keywords : sfm; structure from motion; depth; ego-motion; unsupervised learning; consensus maximization;

   Abstract : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. READ MORE

5. 4. On the effect of architecture on deep learning based features for homography estimation

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

   Author : Victor Ähdel; [2018]
   Keywords : Machine Learning; Deep Learning; Computer Vision; Keypoints; Interest Points; Features; Homography;

   Abstract : Keypoint detection and description is the first step of homography and essential matrix estimation, which in turn is used in Visual Odometry and Visual SLAM. This work explores the effect (in terms of speed and accuracy) of using different deep learning architectures for such keypoints. READ MORE

6. 5. Automatic Matching of Multimodular Images in Live Golf Environments : An Evaluation of Methods to Estimate a Homography Between Multimodular Images

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Ludvig Jansson; [2016]
   Keywords : image matching automatic golf detector descriptor computer vision homography;

   Abstract : This degree project evaluates combinations of well-known state-of-the-art keypoint detectors and descriptors, as well as keypoint matching and robust outlier rejection methods for the purpose of estimating a homography between images produced by two fundamentally different cameras. The evaluation is perfomed on both computational efficiency and matching accuracy of each combination after a series of image deformations have been applied. READ MORE