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This paper proposes a method for increasing accuracy of the scene model generation. Reconstruction of 3D scene model is strongly affected by moving objects both artificial and natural. In the proposed method context analysis is applied as a pre-filtering operation used to detect and remove objects which could negatively affect reconstruction process. Additionally, robust global rotation constraints...
This paper proposes a method for removing outliers of large scale scene model. First, the context of the scene images are analyzed. Some objects which may have negative effect should be removed. For instance, the sky often appear as background and moving object appear in most of scene images. They are also one of reasons that cause the outliers. Second, the constraints of image pair-wise are computed...
This paper implements a study of 3D reconstruction and measurement of indoor objects using binocular stereo camera. First, SIFT feature are extracted from both images and the matching points are found. RANSAC method is applied to eliminate wrong matching points. Second, two stereo images are rectified and generated disparity mapping. Finally, the depth mapping and 3D information of each pixel are...
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