Sökning: "N-point"
Visar resultat 1 - 5 av 10 uppsatser innehållade ordet N-point.
1. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. LÄS MER
2. Lens Distortion Correction Without Camera Access
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Lens distortions appear in almost all digital images and cause straight lines to appear curved in the image. This can contribute to errors in position estimations and 3D reconstruction and it is therefore of interest to correct for the distortion. If the camera is available, the distortion parameters can be obtained when calibrating the camera. LÄS MER
3. Measuring Respiratory Frequency Using Optronics and Computer Vision
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis investigates the development and use of software to measure respiratory frequency on cows using optronics and computer vision. It examines mainly two different strategies of image and signal processing and their performances for different input qualities. LÄS MER
4. Camera pose estimation with moving Aruco-board. : Retrieving camera pose in a stereo camera tolling system application.
Kandidat-uppsats, Jönköping University/JTH, Datateknik och informatikSammanfattning : Stereo camera systems can be utilized for different applications such as position estimation,distance measuring, and 3d modelling. However, this requires the cameras to be calibrated.This paper proposes a traditional calibration solution with Aruco-markers mounted on avehicle to estimate the pose of a stereo camera system in a tolling environment. LÄS MER
5. Generating Synthetic Data for Evaluation and Improvement of Deep 6D Pose Estimation
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : The task of 6D pose estimation with deep learning is to train networks to, from an im-age of an object, determine the rotation and translation of the object. Impressive resultshave recently been shown in deep learning based 6D pose estimation. LÄS MER