Image matching is an important task. There are many available methods for occluded image matching. In this paper we propose new simple image-matching algorithm, modified chamfer matching algorithm (MCMA). Distance transform and conventional chamfer matching algorithm are explained. Examples to demonstrate the algorithm and necessary results are also included. Proposed MCMA is robust, and to an ...

Present paper demonstrates on innovative approach for a fundamental problem in computer vision to map real time a pixel in one image to a pixel on another image of the same scene, which is generally called image correspondence problem. It is a novel real time image matching method which combines Rotational Invariant Feature Selection for real time images and optimization capabilities of Hopfiel...

This paper is focused on analyzing the performance of various matching methods that could be applied to multipledomain imagery matching for photogrammetric and remote sensing purpose. More precisely, the matching between the LiDAR intensity imagery and optical satellite/airborne image domains is of interest, which is a challenging task due to substantial differences such as dissimilarity in sen...

Stereo vision is important m determining three-dimensional positions of tile visible surfaces in images. Most existing stereo matching methods involve matching low-level image features such as edges. A stereo matching technique based on matching high-level image features is described in this paper. The high-level image features extracted are topographic structures, arc segments and region segme...

Image matching has been one of the most fundamental and active research areas in computer vision community. In this field, existing evaluation protocols overemphasize feature design and ignore the performance of image level matching. However, the latter is critical for many high-level vision and robotics tasks. To address this, we present the first application-oriented image matching benchmark ...

In close-range architectural and archaeological photogrammetric applications, very often, amateur cameras are used. While images are suffering from excessive distortions, the objects themselves exhibit remarkable anaglyph (walls, excavation holes, 3D objects, etc.), prohibiting thus the use of simple planar rectification. The 3D reconstruction of such objects unavoidably requires the production...