From bec1a043d33037754afcef1ba226d992f72ee2a0 Mon Sep 17 00:00:00 2001 From: Matthieu Pizenberg Date: Tue, 16 Mar 2021 23:52:44 +0100 Subject: [PATCH] Small readme adjustements --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index ee05041..e1c797b 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ This repository holds both the `lowrr` library, and a `lowrr` command-line execu > 2021. The algorithm presented here takes advantage of the fact that well aligned sets of images -should form a low rank matrix. +should form a matrix with low rank. We thus minimize the nuclear norm of that matrix (sum of singular values), which is the convex relaxation of its rank. @@ -20,9 +20,9 @@ Some additional experiments show interesting results with multimodal images for ![Alignment of photometric stereo images improves the 3D reconstruction][handheld] -The previous figure showcases the improvement of both the 3D reconstruction, -and the recovered albedo after an alignment of handheld photos of the -Bayeux Tapestry. +The previous figure showcases the improvement on both the 3D reconstruction, +and the recovered albedo after an alignment of handheld photometric stereo images +of the Bayeux Tapestry. [handheld]: https://mpizenberg.github.io/resources/lowrr/handheld.jpg @@ -38,7 +38,7 @@ for supervising the image acquisition campaign of the Bayeux Tapestry. To install the `lowrr` command-line program, simply download the executable for your platform (Windows, MacOS, Linux) on the latest release. TODO: make a GitHub release. -Then simply extract and put it in a directory listed in your `PATH` environment variable. +Then simply extract and put the executable in a directory listed in your `PATH` environment variable. This way, you will be able to call `lowrr` from anywhere. ## Usage