Sökning: "Convolution"

Visar resultat 1 - 5 av 61 uppsatser innehållade ordet Convolution.

  1. 1. Real-time Depth of Field with Realistic Bokeh : with a Focus on Computer Games

    Master-uppsats, Linköpings universitet/Informationskodning

    Författare :Anton Christoffersson; [2020]
    Nyckelord :Depth of Field; Bokeh; Real-time Rendering; Computer Graphics; Computer Games; Master Thesis; Computer Science; Circularly Symmetric Convolution; Circle of Confusion; Lens Blur;

    Sammanfattning : Depth of field is a naturally occurring effect in lenses describing the distance between theclosest and furthest object that appears in focus. The effect is commonly used in film andphotography to direct a viewers focus, give a scene more complexity, or to improve aes-thetics. LÄS MER

  2. 2. Directional edge detection by the gradient method applied to linear and non-linear edges

    Kandidat-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Mohammed Al-Dory; [2020]
    Nyckelord :Edge detection; Gradient; Image processing; Computer vision; Circular convolution; Transform methods; Applied mathematics; Kantdetektering; Gradient; Bildbehandling; Datorseende; Cirkulär faltning; Transformmetoder; Tillämpad matematik;

    Sammanfattning : When we humans look at images, especially paintings, we are usually interested in the sense of art and what we regard as “beauty”. This may include colour harmony, fantasy, realism, expression, drama, ordered chaos, contemplative aspects, etc. LÄS MER

  3. 3. A Digits-Recognition Convolutional Neural Network on FPGA

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Zhenyu Wang; [2019]
    Nyckelord :;

    Sammanfattning : A convolutional neural network (CNN) is a deep learning framework that is widely used in computer vision. A CNN extracts important features of input images by perform- ing convolution and reduces the parameters in the network by applying pooling operation. LÄS MER

  4. 4. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps

    Master-uppsats, Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Författare :Daniel Cranston; Filip Skarfelt; [2019]
    Nyckelord :Disparity Map; Disparity Refinement; Dataset Generation; Neural Network; Normalized Convolution;

    Sammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER

  5. 5. DSP Design With Hardware Accelerator For Convolutional Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Julian Hille; Lucas Santos Ferreira; [2019]
    Nyckelord :CNN; Hardware; Accelerator; DSP; Convolutional; Convolution; Neural; Network; Processor; Tensilica; FIR; Memory; SRAM; Technology and Engineering;

    Sammanfattning : Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy levels in the ImageNet Large Scale Visual Recognition Challenge. The era of machine learning has arrived and with it countless applications varying from autonomous driving to unstructured robotic manipulation. LÄS MER