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We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature database building and recognition-based navigation. The virtual environment is reconstructed automatically with LIDAR data and aerial images. The feature database is composed of image patches with features and registered location...
Finding corresponding image points is a challenging computer vision problem, especially for confusing scenes with surfaces of low textures or repeated patterns. Despite the well-known challenges of extracting conceptually meaningful high-level matching primitives, many recent works describe high-level image features such as edge groups, lines and regions, which are more distinctive than traditional...
Automatic Target Recognition (ATR) of infrared object has been taking a great interest to the researchers in recent years. ATR requires invariance of high cognition accuracy in translation, scaling and orientation, but classification of two-dimensional (2D) shapes despite of their position, size and orientation in infrared image remains a difficult problem. In this paper, a feature extraction method...
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