WaPT Surface Normal Estimation for Improved Template Matching in Visual Tracking
Abstract
This paper presents an algorithm which is an improvement of the template matching technique. The main goal of the algorithm is to match 3D points with their corresponding 2D points in the images. In the presented method, each 3D point is enriched with a normal vector that approximates the orientation of the surface where the 3D point is lying. This normal improves the transfer process of patches providing more precise warped patches, because perspective deformation is taken into account. The results obtained with the proposed transfer method confirm that matching is more accurate than traditional approaches.
BIB_text
title = {WaPT Surface Normal Estimation for Improved Template Matching in Visual Tracking},
pages = {496-503},
volume = {3},
keywds = {
Surface Normal,Template Matching , Visual tracking
}
abstract = {
This paper presents an algorithm which is an improvement of the template matching technique. The main goal of the algorithm is to match 3D points with their corresponding 2D points in the images. In the presented method, each 3D point is enriched with a normal vector that approximates the orientation of the surface where the 3D point is lying. This normal improves the transfer process of patches providing more precise warped patches, because perspective deformation is taken into account. The results obtained with the proposed transfer method confirm that matching is more accurate than traditional approaches.
}
isbn = {978-989-758-091-8},
date = {2015-03-16},
year = {2015},
}
