Document Image Registration Based on Local Feature Image and Harris Feature Points Detection

Image Surface Extremal Points, new feature points for Image Registration

Multiresolution feature-based image registration

Image registration is the fundamental task used to match two or more partially overlapping images and stitch these images into one panoramic image comprising the whole scene. To register two images, the coordinate transformation between a pair of images must be found. In this paper, a multiresolution feature-based method is developed to efficiently estimate an eight-parametric projective transf...

Experimental Evaluation of Document Image Mosaicing Based on Local Arrangements of Feature Points

In this paper we propose a mosaicing method of camera-captured document images. Since document images captured using digital cameras suffer from perspective distortion, their alignment is a difficult task for previous methods. In the proposed method, correspondences of feature points are calculated using an image retrieval method LLAH. Document images are aligned using a perspective transformat...

Hashing with Local Combinations of Feature Points and Its Application to Camera-Based Document Image Retrieval

This paper presents a new method of indexing and retrieval of planar objects based on feature points and its application to document image retrieval using cameras. As the indexing method we propose a method based on local combinations of projective invariants calculated from feature points. As the retrieval method we employ a voting technique for efficiency and robustness against erasure of fea...

Multispectral Image Feature Points

This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge ...