Essays about: "performance maps"

Showing result 1 - 5 of 202 essays containing the words performance maps.

  1. 1. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Author : Kobe Moerman; [2023]
    Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE

  3. 2. A comparative performance analysis of Fast Fourier Transformation and Gerstner waves

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Morgan Westerberg; Oliver Olguin Jönsson; [2023]
    Keywords : Water simulation; Procedural methods; Ocean waves; Fast Fourier Transformation; Gerstner waves;

    Abstract : Background:  As time moves on hardware is able to tackle heavier and more complex computations in real-time systems. This means that more realistic and stylistic environments can be computed. One of these environments is the ocean. READ MORE

  4. 3. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning

    University essay from Linköpings universitet/Datorseende

    Author : Kevin Bärudde; Marcus Gandal; [2023]
    Keywords : Machine Learning; 3D Anomaly Detection; Feature Extraction; Manufacturing; Computer Vision; Vision Transformer; PointNet;

    Abstract : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. READ MORE

  5. 4. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

    Author : Dimitrios Zarogiannis; Stelio Bompai; [2023]
    Keywords : Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

    Abstract : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. READ MORE

  6. 5. Quantification of DNA Nanoballs Using Image Processing Techniques

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Sara Lindberg; [2023]
    Keywords : image analysis; fluorescence microscopy; quantification; DNA; rolling circle amplification; machine learning; deep learning; transfer learning; neural networks;

    Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE