vicwue

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]

	# Output a single frame from the video into an image file:
	ffmpeg -i input.mov -ss 00:00:14.435 -vframes 1 out.png

	# Output one image every second, named out1.png, out2.png, out3.png, etc.
	# The %01d dictates that the ordinal number of each output image will be formatted using 1 digits.
	ffmpeg -i input.mov -vf fps=1 out%d.png

	# Output one image every minute, named out001.jpg, out002.jpg, out003.jpg, etc.
	# The %02d dictates that the ordinal number of each output image will be formatted using 2 digits.
	ffmpeg -i input.mov -vf fps=1/60 out%02d.jpg

	<!doctype html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	</head>
	<body>
	<div class="viewport"></div>

	<script src="//cdnjs.cloudflare.com/ajax/libs/three.js/r58/three.min.js"></script>
	<script src="//threejs.org/examples/js/controls/OrbitControls.js"></script>