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In this work, we perform three-dimensional scene recovery from image data capturing railway transportation corridors. Typical three-dimensional scene recovery methods initialise recovered feature positions by searching for correspondences between image frames. We intend to take advantage of a relationship between image data and recovered scene data to reduce the search space traversed when performing...
Three-dimensional scene recovery from two-dimensional image data is a challenging task. Typical methods compute two-dimensional image feature correspondences between image frames. However, these methods introduce errors as three-dimensional warping of image elements is not considered. Further, no previous method presented exploits the strong correlation between three-dimensional scene elements in...
Three-dimensional (3D) scene recovery from two-dimensional (2D) image data is a challenging task. Typical methods applied involve computing 2D image feature correspondences between multiple frames, used in conjunction with camera models and movement to recover 3D feature position. In this work, we present a novel method for 3D scene recovery from monocular video. To provide greater robustness, we...
High-Definition video can provide useful information regarding distant objects. For example, when trying to detect traffic signs. However, current detection methods have not been thoroughly tested in terms of their ability to detect signs over changing distance. In this work, we present such an experimental comparison of detection methods. We also present a novel object detection method based on colour...
Asset management systems allow organizations to efficiently store data pertaining to the physical location of important assets. Asset detection is a key component of such systems, the automation of which greatly increases efficiency and for which object recognition techniques are an obvious choice. Recently, High-Definition video capturing equipment has become more prolific in these systems. Data...
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