Essays about: "Datorseende"

Showing result 1 - 5 of 203 essays containing the word Datorseende.

  1. 1. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

    University essay from Linköpings universitet/Datorseende

    Author : Hanna Hamrell; [2021]
    Keywords : machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

    Abstract : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. READ MORE

  2. 2. Measuring Respiratory Frequency Using Optronics and Computer Vision

    University essay from Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Author : Per Antonsson; Jesper Johansson; [2021]
    Keywords : Computer Vision; Optical Flow; Motion Vectors; Respiratory Frequency; Signal Processing;

    Abstract : 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. READ MORE

  3. 3. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  4. 4. Anomaly Detection in Images and Videos Using Photo-Response Non-Uniformity

    University essay from Linköpings universitet/Datorseende

    Author : Kerstin Söderqvist; [2021]
    Keywords : ;

    Abstract : When photos and videos are increasingly used as evidence material, it is of importance to know if these materials can be used as evidence material or if the risk of them being forged is impending. This thesis investigates methods for detecting anomalous regions in images and videos using photo-response non-uniformity -- a fixed-pattern sensor noise that can be estimated from photos or videos. READ MORE

  5. 5. 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