Guest editorial: Image fusion: Advances in the state of the art
A Ardeshir Goshtasby, S Nikolov - Information fusion, 2007 - dl.acm.org
Image fusion is the process of combining information from two or more images of a scene
into a single composite image that is more informative and is more suitable for visual …
into a single composite image that is more informative and is more suitable for visual …
Go-ICP: A globally optimal solution to 3D ICP point-set registration
The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-
set registration. However, being based on local iterative optimization, ICP is known to be …
set registration. However, being based on local iterative optimization, ICP is known to be …
Go-icp: Solving 3d registration efficiently and globally optimally
Registration is a fundamental task in computer vision. The Iterative Closest Point (ICP)
algorithm is one of the widely-used methods for solving the registration problem. Based on …
algorithm is one of the widely-used methods for solving the registration problem. Based on …
Automated matching of high-and low-resolution structural models
MB Kozin, DI Svergun - Journal of applied crystallography, 2001 - journals.iucr.org
A method is presented for automated best-matching alignment of three-dimensional models
represented by ensembles of points. A normalized spatial discrepancy (NSD) is introduced …
represented by ensembles of points. A normalized spatial discrepancy (NSD) is introduced …
The best-so-far selection in artificial bee colony algorithm
The Artificial Bee Colony (ABC) algorithm is inspired by the behavior of honey bees. The
algorithm is one of the Swarm Intelligence algorithms explored in recent literature. ABC is an …
algorithm is one of the Swarm Intelligence algorithms explored in recent literature. ABC is an …
[图书][B] 2-D and 3-D image registration: for medical, remote sensing, and industrial applications
AA Goshtasby - 2005 - books.google.com
To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …
[PDF][PDF] Algorithms for facility location problems with outliers
Facility location problems are traditionally investigated with the assumption that all the
clients are to be provided service. A signi cant shortcoming of this formulation is that a few …
clients are to be provided service. A signi cant shortcoming of this formulation is that a few …
A critical review of image registration methods
Z Xiong, Y Zhang - International Journal of Image and Data Fusion, 2010 - Taylor & Francis
Image registration is the process of precisely overlaying two (or more) images of the same
area through geometrically aligning common features (or control points) identified in the …
area through geometrically aligning common features (or control points) identified in the …
Shape matching: Similarity measures and algorithms
RC Veltkamp - Proceedings International Conference on …, 2001 - ieeexplore.ieee.org
Shape matching is an important ingredient in shape retrieval, recognition and classification,
alignment and registration, and approximation and simplification. This paper treats various …
alignment and registration, and approximation and simplification. This paper treats various …
Efficient subwindow search: A branch and bound framework for object localization
CH Lampert, MB Blaschko… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Most successful object recognition systems rely on binary classification, deciding only if an
object is present or not, but not providing information on the actual object location. To …
object is present or not, but not providing information on the actual object location. To …