Abstract This paper presents a systematic literature review of image datasets for document analysis, focusing on historical documents, such as handwritten manuscripts and early prints. Finding appropriate analysis is crucial prerequisite to facilitate research using different machine learning algorithms. However, because the very large variety actual data (e.g., scripts, tasks, dates, support s...

The ortho-rectification of satellite images is normally a timeconsuming and expensive task. It can strongly benefit from automatic or semiautomatic procedures in order to avoid field work for ground control survey. This article presents an automated method to automatically georeference satellite images acquired by the ASTER sensor. The method is based on automatic matching of images and Digital...

Radial distortion has widely existed in the images captured by popular wide-angle cameras and fisheye cameras. Despite long history of rectification, accurately estimating parameters from a single distorted image is still challenging. The main reason that these are implicit to features, influencing networks learn information fully. In this work, we propose novel rectification approach can obtai...

In this paper, we propose an image rectification method to generate panoramic views from stereoscopic images. Due to different intrinsic and extrinsic characteristics of stereoscopic cameras, there are some mismatches in the vertical direction of the stereo images and they become major obstacles to make a panoramic image. Therefore, we need to reduce mismatches to generate more natural panorami...

Omnidirectional stereo vision systems have been widely used as primary vision sensors in intelligent robot 3D measurement tasks, which require stereo calibration and rectification. Current stereo calibration and rectification methods suffer from complex calculations or a lack of accuracy. This paper establishes a simple and effective equivalency between an omnidirectional stereo vision system a...

A Survey on SAR image Georegistration and Orthorectification Authors Nagashree. R.N, Vibha Rao 1Asst.Prof, Telecommunication Engineering, GSSSIETW, Mysuru, 2Asst.Prof, Electronics & Communication Engineering, NIEIT, Mysuru, [email protected], [email protected] ABSTRACT: This paper outlines the principle of Synthetic Aperture Radar (SAR). Also In this paper we have discussed what...

Multispectral digital imagery acquired from Soda Butte and Cache Creeks, Montana and Wyoming was used in conjunction with field data to classify and map hydrogeomorphic stream units on four stream reaches. The morphologic units that were field mapped were eddy drop zones, glides, low gradient riffles, high gradient riffles, lateral scour pools, attached bars, detached bars, and large woody debr...

Across a majority of pedestrian detection datasets, it is typically assumed that pedestrians will be standing upright with respect to the image coordinate system. This assumption however, is not always valid for many visionequipped mobile platforms such as mobile phones, UAVs or construction vehicles on rugged terrain. In these situations, the motion of the camera can cause images of pedestrian...

DEM(Digital Elevation Model)-based digital differential rectification is a very popular method for producing Digital Orthophoto Model(DOM) out of central perspective imagery. However, it is by not the unique way. Three other non-DEM methods are proposed and discussed technically in the paper. (1) If central perspective-sensed images are in the form of stereopair, then parallax can be computed b...