Showing 4 open source projects for "matlab segmentation"

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  • 1
    VRN

    VRN

    Code for "Large Pose 3D Face Reconstruction

    The VRN (Volumetric Regression Network) repository implements the “Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression” method. Instead of explicitly fitting a 3D model via landmark estimation and deformation, VRN treats the reconstruction task as volumetric segmentation: it learns a CNN to regress a 3D volume aligned to the input image, and then extracts a mesh via isosurface from that volume. The network is unguided (no 2D landmarks as intermediate). The mesh surfaces can be textured (in MATLAB branch) and colored. Docker container provided for easy CPU deployment.
    Downloads: 0 This Week
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  • 2
    Scilab Image Processing Toolbox

    Scilab Image Processing Toolbox

    Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS

    SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel
    Downloads: 3 This Week
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  • 3
    Edges

    Edges

    Structured Edge Detection Toolbox

    Structured Edge Detection (Edges) is a MATLAB toolbox implementing the structured forests method for fast and accurate edge detection (up to ~60 fps in many settings). The toolbox also includes the Edge Boxes object proposal method, fast superpixel generation, and utilities for training, evaluation, and integration with vision pipelines. High performance (frames per second performance depending on settings). Integration with MATLAB and compatibility with external vision pipelines. Fast edge...
    Downloads: 0 This Week
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  • 4

    SURF-nanodots

    Very basic computer vision program

    ...See the wiki for known issues and more information. A computer vision program for analysis of magnetic data collected by a scanning probe microscope. Originated in summer 2007 as a collection of C compiled for Matlab (MEX) files and was eventually ported to a standalone C++ application with a GUI created in Qt. This program takes atomic and magnetic force microscope (AFM/MFM) image pairs as input and uses threshold segmentation to identify magnetic nanodots by intensity in the AFM image. These are then used to assess the magnetic states of those dots in the MFM image Attribution: "C++ GUI Programming with Qt 4" by Blanchette and Summerfield was helpful in getting me started on the GUI.
    Downloads: 0 This Week
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