The drawback of this approach is that it can not deal with large viewpoint variations.Berger [15] presented a new approach for resolving occlusions without 3D Temsirolimus clinical reconstruction. The main idea is to label each contour point of the real object as being ��behind�� or ��in front of��, depending on whether it is in front of or behind the virtual object. Schmidt et al. [16] used a binocular stereo camera system to obtain proper occlusions. The disparity calculation method is improved and extremely efficient. Hayashi et al. [17] proposed a method for real-time Inhibitors,Modulators,Libraries stereo matching using a contour based approach to acquire the accurate depth of the boundary of real objects. Fortin et al. [18] described how to extract a depth map of the scene along the viewpoint. Then the depth buffer is used to handle occlusions.
The model-based and depth-based approaches have their own disadvantages. In the model-based method, the accuracy of 3D reconstruction has a great influence on the results of occlusion handling. However, the contour of the real object will change when the viewpoint of the camera changes. This will lead to reconstruction errors and inaccuracies Inhibitors,Modulators,Libraries in the 2D occluding boundary. Furthermore, the 3D models of the real object need to be reconstructed off-line, so the model-based method is not suitable for real-time occlusion handling. The depth-based approach is based on stereo vision theory. The disadvantages are as follows: (1) the expensive computation time and inaccurate depth information; (2) the complex calibration process of the stereo cameras; 3) the narrow application range, since this is only suitable for static real scenes.
In this Inhibitors,Modulators,Libraries paper, we develop a new approach for effectively handling occlusion in real-time. Our method is different from the model-based and depth-based methods mentioned above. The Inhibitors,Modulators,Libraries proposed method distinguishes itself in the following ways:First, we use an improved interactive object segmentation method based on mean shift and graph cuts to obtain the contour of the specified occluding object in the first frame. The proposed segmentation method finds the object boundary even though the scene is complex.Second, a real-time method combining graph cuts and optical flow is used to track the object in the subsequent frames. This method tracks objects robustly, even when the object contains many colors that are similar as its background or the camera is moved through large changes of viewing angles and volumes.
Moreover, it has the ability to converge onto the object boundary GSK-3 within a few frames, even when the previous object boundary is not properly initialized.Third, we propose a way to obtain correct occlusion relationships by redrawing all the pixels of the tracked object on the augmented image. Furthermore, the boundary between the occluding and physical object is made seamless www.selleckchem.com/products/AP24534.html by a smoothing process.The remaining parts of this paper are organized as follows.
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