[PDF] 3d reconstruction from single image deep learning

  • What is single view 3D reconstruction?

    Single-view 3D object reconstruction is a fundamental and challenging computer vision task that aims at recovering 3D shapes from single-view RGB images.
  • How to do 3D reconstruction?

    Solution 1: Structure from motion
    One of the most popular and effective solutions for 3D reconstruction from moving objects is structure from motion (SfM). SfM is a method that combines motion estimation and shape and texture recovery to create a 3D model of the object from multiple images or video frames.
  • How to convert 2D image to 3D using Python?

    The '[::-1]' reverses the meshgrid rows so the surface has the same orientation as the image.

    1import numpy as np.2import matplotlib.pyplot as plt.3from matplotlib.pyplot import imread.4from mpl_toolkits.mplot3d import Axes3D.5import scipy.ndimage as ndimage.6imageFile = '../image/Josef-Albers.png'7mat = imread(imageFile)
  • In the past 5 years, deep learning reconstruction (DLR) techniques have become increasingly popular. DLR uses artificial intelligence to reconstruct high-quality images from lower-dose CT faster than MBIR. However, the performance of DLR algorithms relies on the quality of data used for model training.
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