We consider the problem of matching perspective views of coplanar structures composed of line segments. Both model-to-image and image-to-image correspondence matching are given a consistent treatment. These matching scenarios generally require discovery of an eight parameter projective mapping. However, when the horizon line of the object plane can be found in the image, done here using vanishi...

Content based image retrieval systems (CBIR) have drawn wide attention in recent years due to the exponential growth of multimedia information storage in various fields of life. Given a query image, the goal of CBIR system is to retrieve content related images from databases by employing suitable image matching algorithms. Many algorithms have been proposed in the past for image matching. This ...

Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document component block list (CBL) is proposed. A document image is ®rstly parsed into a number of component blocks that are de®ned as non-adherent rectangular areas of substantial document contents. Then these blocks are organized as a list, on which severa...

In this paper we present a novel approach which is combined local invariant feature descriptor named ARPIH (Angular Radial Partitioning Intensity Histogram) with histogram-based similar distance (HSD). The approach succeeds the ARPIH descriptor’s distinctive advantage and provides higher robustness in deformation image matching, such as rotation image, illumination changing image and perspectiv...

We consider SAR-optical image matching problems, where correspondences are acquired from a pair of SAR and optical images. Recent methods for such problem typically simplify the to SAR-SAR or optical-optical matchings using supervised-image-synthesis methods. However, training needs plenty aligned pairs while gathering sufficient amounts multi-modal is challenging in remote sensing. In this wor...

In this paper, we propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image and a feature vector is constructed for each of the vessel-segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the ves...

Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different view points. Improved image-matching technology has been widely applied in medical image, remote sensing image, computer vision military and so on. What put forward at the present can be most divided into matching method based on gray and f...

In order to ensure that SAR scene matching aided navigation system can acquire the position errors and yawing errors simultaneously, we propose an image matching algorithm based on Scale Invariant Feature Transform (SIFT). However, the SIFT is proposed for optical image, and its performance degrades when used in SAR image. To enhance the adaptability of SIFT, two ways are employed. One is the a...

This paper presents computationally efficient object detection, matching and categorization via Agglomerative Correspondence Clustering (ACC). We implement ACC for feature correspondence and object-based image matching exploiting both photometric similarity and geometric consistency from local invariant features. Objectbased image matching is formulated here as an unsupervised multi-class clust...