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Showing 1 to 4 of 4 for “"2D Convolution"”.

  1. Extraction of Structural Component Geometries in Point Clouds of Metal Buildings

    … techniques. Within these images we use 2d convolution as a template match to isolate structural cross sections. This gives us the centroids of cross sections in the image space, which we can map back to the point cloud space as points along the centerline of the element. By fitting lines …

    vt Repository record for Extraction of Structural Component Geometries in Point Clouds of Metal Buildings (opens in a new tab)

  2. Facial analysis in video : detection and recognition

    … from 12% to 69%. Finally, four two-dimensional (2D) convolution filters are derived for feature extraction, and a 2D+3D face recognition system implementing both 2D and 3D imaging modalities is designed to address the FRGC problems. This method improves FRGC ver2.0 Experiment 3 baseline …

    njit Repository record for Facial analysis in video : detection and recognition (opens in a new tab)

  3. Volumetric Medical Classification using Deep Learning: A comparative study on classifying Alzheimer's disease using Convolutional Neural Networks

    … usage of 3D model architecture over traditional 2D architecture. In doing so, however, it is revealed that the 2D models do ultimately perform only slightly below the 3D model. Thus, the 2D approaches hold merit for potential usage, should a 2D planar approach be desired. The paper presents a …

    cape-town Repository record for Volumetric Medical Classification using Deep Learning: A comparative study on classifying Alzheimer's disease using Convolutional Neural Networks (opens in a new tab)

  4. Fast and Scalable Architectures and Algorithms for the Computation of the Forward and Inverse Discrete Periodic Radon Transform with Applications to 2D Convolutions and Cross-Correlations

    … including the Fourier Slice Theorem and the convolution property. Unfortunately, the use of the DPRT has been limited by the need to compute a large number of additions O(N^3) and the need for a large number of memory accesses. This PhD dissertation introduces a fast and scalable approach for …

    unm Repository record for Fast and Scalable Architectures and Algorithms for the Computation of the Forward and Inverse Discrete Periodic Radon Transform with Applications to 2D Convolutions and Cross-Correlations (opens in a new tab)