Essays about: "Optical-Flow"

Showing result 11 - 15 of 55 essays containing the word Optical-Flow.

  1. 11. Towards Visual-Inertial SLAM for Dynamic Environments Using Instance Segmentation and Dense Optical Flow

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

    Author : Luis Alejandro Sarmiento Gonzalez; [2021]
    Keywords : Semantic SLAM; Stereo Vision; VisualInertial SLAM; Motion likelihood; Stereo disparity; Dense optical flow; Dynamic objects.; Semantisk SLAM; Stereo Vision; Visual-Inertial SLAM; Sannolikhet för rörelse; Stereoskillnader; Tätt optiskt flöde; Dynamiska objekt.;

    Abstract : Dynamic environments pose an open problem for the performance of visual SLAM systems in real-life scenarios. Such environments involve dynamic objects that can cause pose estimation errors. READ MORE

  3. 12. Self-supervised monocular depth estimation for dynamic scenes

    University essay from Lunds universitet/Matematik LTH

    Author : Jonathan Lindberg; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Estimating depth from an image is an ill-fitted problem, since we project a three-dimensional space to a two-dimensional image. However, human can estimate a plausible depth from only a single eye and often are we relaying on this for quick estimation of moving objects. READ MORE

  4. 13. Mapping an Auditory Scene Using Eye Tracking Glasses

    University essay from Linköpings universitet/Reglerteknik

    Author : Alfred Fredriksson; Joakim Wallin; [2020]
    Keywords : Sensor Fusion;

    Abstract : The cocktail party problem introduced in 1953 describes the ability to focus auditory attention in a noisy environment epitomised by a cocktail party. An individual with normal hearing uses several cues to unmask talkers of interest, such cues often lacks for people with hearing loss. READ MORE

  5. 14. Evaluation of Camera Resolution in Optical Flow Estimation Using Event-Based Cameras

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

    Author : Simon Hellberg; Dominik Hollidt; [2020]
    Keywords : ;

    Abstract : Developments in event-based camera technology and their recent increase in pixel count raised the question of whether resolution helps the accuracy and performance of algorithms. This thesis studies the impact of resolution on optical flow estimation for event-based cameras. READ MORE

  6. 15. Deep Learning based Video Super- Resolution in Computer Generated Graphics

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

    Author : Vinit Jain; [2020]
    Keywords : Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

    Abstract : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. READ MORE