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This paper proposes a novel method for estimating the geospatial trajectory of a moving camera. The proposed method uses a set of reference images with known GPS (global positioning system) locations to recover the trajectory of a moving camera using geometric constraints. The proposed method has three main steps. First, scale invariant features transform (SIFT) are detected and matched between the...
This paper presents a new algorithm for extracting the centerlines of 2D and 3D objects, based on clustering. The algorithm computes the centerline from all points of the object in order to remain faithful to the structure of the shape. The idea is to cluster a data set constituted of the points composing the object and their relative distance transforms. The centerline is derived from the set of...
We present a novel framework for detecting urban changes from a pair of very high resolution (VHR) satellite images such as those taken by satellite Quickbird-II or IKONOS. Image differences due to variations of imaging conditions such as view angle and illumination are distinguished from significant urban changes in the scene. First, we adopt a new image registration method, which makes several useful...
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit intrinsic structural information provided by line features. Furthermore, we propose a new line-based distance transform to integrate with our algorithm to provide efficient transformation cell evaluation and subdivision...
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