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The fisheye camera has been widely studied in the field of robot vision since it can capture a wide view of the scene at one time. However, serious image distortion handers it from being widely used. To remedy this, this paper proposes an improved fisheye lens calibration and distortion correction method. First, an improved automatic detection of checkerboards is presented to avoid the original constraint...
We present a new method to correct perspective and geometric distortions as well as to segment and refine page frames, presented in document images of paperback books. The proposed digitization process of paperback books is just like the process of scanning. Unlike traditional methods, our method is independent of document contents and does not need additional hardware or multiple images or luminance...
This paper investigates gaze estimation solutions for interacting children with Autism Spectrum Disorders (ASD). Previous research shows that satisfactory accuracy of gaze estimation can be achieved in constrained settings. However, most of the existing methods can not deal with large head movement (LHM) that frequently happens when interacting with children with ASD scenarios. We propose a gaze estimation...
Micro aerial vehicle (MAV) can be used as an efficient image acquiring tool. However, aerial video sequence has a large amount of redundant information, which will delay the scene reconstruction process and decrease the structure accuracy. Meanwhile conventional frame decimation approaches normally have time-consuming feature matching step. This paper proposes a hierarchical frame decimation approach...
In this paper, a new planning approach for automatic reconstruction of unknown 3D objects with occlusion is proposed. During reconstruction process, the contour of occlusion is predicted reasonably firstly. Secondly, the optimal spatial position of the vision system would be determined where the vision system can obtain the maximum visible area. Finally, the reconstruction processes of the real objects...
Automatic reconstruction of unknown 3-D objects has been of great importance in the areas of machine vision, object recognition, and automatic modeling. In this paper, a new planning approach of generating 3-D models automatically is proposed. The new algorithm incorporates the limit visual surfaces of unknown model which are obtained according to both of the known object boundary knowledge and the...
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