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The image registration is one of the key steps to achieve three-dimensional (3D) localization and the other image fusion processes. This article presents a registration method based on the combination of edge feature and corner feature. The processing steps include image segmentation, corner detection, edge detection, extraction of interested region, and correspondence points matching. The algorithm...
Ocular biometrics has made significant progress over the past decade primarily due to advances in iris recognition. Initial research in the field of iris recognition focused on the acquisition and processing of frontal irides which may require considerable subject cooperation. However, when the iris is off-angle with respect to the acquisition device, the sclera (the white part of the eye) is exposed...
Image mosaic is useful for the traditional image process. We proposed a novel feature based sequence image stitching method for the image mosaic system. In this method, the whole image registration process has five steps, which includes feature point detection, feature descriptor extraction, feature points matching, estimation of the motion model parameters and stitching process. In these steps, difference...
Graphs are useful representations of the liver vasculature. They support tree matching algorithms in landmark-based registration algorithms, they are useful to separate connected vessels from two different vessel systems and are the basis of vessel annotation tools. In this paper, we propose a hierarchical decomposition of vessel skeletons into sub-branches. This simplifies the process of creating...
In SAR and optical images, invariant feature extraction and matching is very difficult, linear feature extraction is relatively easy. This paper presents a linear feature based image registration method, which using the distance of line segment's endpoints to another line segment and the distance between the two line segments' centers defines a spatial coherence measure between two line segments,...
Image registration is of prime importance for image mosaic. It is the process of geometrically aligning one image to another image of the same scene taken from different time, from different viewpoints or by different sensors. In general, image registration needs a lot of time. This paper reduces the computation time from two aspects. For coarse matching, the paper combines normalized cross correlation...
Multi-source remote sensing image registration has important significance, this paper outlines the basic process and common methods of the remote sensing images registration, and the basic principles of SIFT matching algorithm.Then we put forward the SIFT image matching algorithm based on window segmentation and achieve good effect.
To reduce the image collection condition in image mosaic, enhance the adaptability and flexibility of stitching algorithm, this paper presents a pixel from the feature extraction, matching between the image pixel transformation estimates and robust algorithm for automatic fusion splicing. The experimental results show that the algorithm not only maintained a good image stitching accuracy and robustness,...
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample consensus (RANSAC) based algorithm to simultaneously achieving robust and realtime ego-motion estimation, and multi-scale segmentation in environments with rapid changes. Instead of directly sampling on measurements, RANSAC matching...
This paper deals with a new registration method based on a specific level-line grouping. Because of its contrast-change invariance, our approach is an appropriate method for matching outdoor image sequences. Moreover, it does not require any estimation of the unknown transformation between images and handle well the critical cases that usually lead to pairing ambiguities, such as repetitive patterns...
This paper deals with a new registration method based on a specific level-line grouping. Because of its contrast-change invariance, our approach is an appropriate method for matching outdoor image sequences. Moreover, it does not require any estimation of the unknown transformation between images and handle well the critical cases that usually lead to pairing ambiguities, such as repetitive patterns...
We present a novel three-dimensional (3D) face matching approach in this paper. First, 3D facial scans are segmented and four feature points of each face are detected for rough alignment the by Absolute Orientation method. Then a modified Iterative Closest Point (ICP) algorithm is employed for range image registration. A Simulated Annealing (SA) based approach with the Surface Interpenetration Measure...
In recent years, statistical shape models, of which Active Appearance Models (AAMs) are a subset have been increasingly applied to the automatic segmentation of medical images. AAMs are a local search technique requiring good initialisation. In 3D automatic initialisation can be achieved by multiple initialisations, registration, template matching or by application dependent heuristics. The first...
Pattern matching is a technique in which the location of a particular place is found by comparing its raw image with the image present in the database. It is used to check the presence of certain structure in an image. It is done between the reference image and database images sequentially pixel by pixel. Today's applications require more of georefrencing techniques like GIS and other geographic control...
This paper presents an investigation into different approaches for segmentation-driven retinal image registration. This constitutes an intermediate step towards detecting changes occurring in the topography of blood vessels, which are caused by disease progression. A temporal dataset of retinal images was collected from small animals (i.e. mice). The perceived low quality of the dataset employed favoured...
Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present...
The following topics are dealt with: Human Action Recognition; Recursive Self Organizing Map; Longest Common Subsequence Matching; Extensive Articulated Human Detection; Voting Cluster Boosted Tree; Video Object Detection Speedup; Staggered Sampling; Edge Detection; Natural Images Colorization; LI Optimization; Vision based 2D-3D Registration System; GPU; and Image Segmentations.
To resolve the problem of large angle and large scale image registration, an improved approach combining log-polar and SIFT is proposed. Firstly, the log-polar technique is implemented in order to achieve the preliminary registration result as well as estimate the arbitrary rotations parameters and large scale changes. Secondly, image is segmented into sub-blocks and six candidates of sub-blocks are...
A probabilistic matching of lines, which form a homography in two images, is formulated in the framework of the forward stepwise regression. A membership matrix represents the likelihood of line correspondences to the homography. The correspondence measure is borrowed from the forward stepwise regression so that the squared error of the homography and the number of correspondences are balanced simultaneously...
Characteristic marks on the cartridge can be viewed as a ??fingerprint?? for identification of a firearm. Sometimes, however, not all information can be obtained from just one image due to the limitations of microscope and the unsmoothed specimen surface in the cartridge case image detection. Image mosaic that refers to the combination of two or more images into a single composite image is precisely...
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