In this paper we discuss the importance of scene registration for several tasks in the automated interpretation of aerial imagery. These tasks are structure matching, stereo matching, and stereo visualization. While the processes of registration and matching have traditionally been treated as separate problems, particularly in the case of stereo matching, we describe techniques that may unify t...

ABSTRACT Gravitationally lensed Type Ia supernovae are an emerging probe with great potential for constraining dark energy, spatial curvature, and the Hubble constant. The multiple images their time delayed magnified fluxes may be unresolved, however, blended into a single light curve. We demonstrate methods without fixed source template matching extracting individual images, determining whethe...

Stereo image matching is to find conjugate points on overlapping images pair, i.e., search for the same image pixels of a ground point on the left and right images. When the image orientation parameters are known, the 3D (X,Y,Z) coordinates of the ground point can be calculated. This process is the core part of DEM (Digital Elevation Model) generation in digital photogrammetry. Research on this...

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is designed to distinguish humans from machines. Most of the existing tests require reading distorted text embedded in a background image. However, many existing CAPTCHAs are either too difficult for humans due to excessive distortions or are trivial for automated algorithms to solve. These CAPTCHAs also suff...

There is a need for registration algorithms to compare functional data, to compute distances between healthy and disease anatomies, and to build probabilistic atlases between the healthy and disease groups. To do this, medical images can be directly processed via 2d or 3d image matching, or after segmentation: extraction of some features points, curves or surfaces of interest. In this case, the...

To provide rapid analysis for the ongoing status of emergency, the captured aerial images must be georeferenced to the same coordinate system as the existing spatial data in real-time. This study presents a development of an automated real-time image georeferencing which involves a novel image matching and simultaneous AT. We implemented a reliable fast-and-automated image matching based on the...