Yoshihiro Fukuhara gatheluck

VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.

VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.

For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

	sudo apt update && \
	sudo apt install build-essential software-properties-common -y && \
	sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
	sudo apt update && \
	sudo apt install gcc-6 g++-6 -y && \
	sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 60 --slave /usr/bin/g++ g++ /usr/bin/g++-6 && \
	gcc -v

	import os
	import sys
	import re
	import argparse
	import urllib.parse
	import urllib.request

	import requests
	from bs4 import BeautifulSoup

	#!/bin/env python
	import numpy as np
	import scipy.misc
	from scipy.fftpack import dct, idct
	import sys

	H = 128
	W = 128

	lenna = scipy.misc.imresize(scipy.misc.lena(), (H, W)).astype(float)