12/29/2023 0 Comments Cloudplay change embedded artwork![]() Symmetry analysis of the surface of anatomical structures offers good promise for diagnosis, follow-up and therapy planning of pathologies causing abnormal deformities. ![]() By eliminating the nonsweeping time spent by the stylus due to its air-moves between multiple patches and also the time-costly approach-retraction operations required for each patch, the proposed algorithm is able to significantly reduce the total inspection time, sometimes more than 50%, as validated in our physical inspection experiments. The planning algorithm is novel in that no partitioning of the surface is needed and a single continuous five-axis sweep scanning path will be generated for the entire surface. We present an algorithm for automatically planning the five-axis sweep scanning for an arbitrary barrel-shaped surface in the form of either a compound, a trimmed, or a simple surface. However, currently it still mostly relies on humans to manually plan a five-axis sweep scanning path, and in most cases, the surface is simply divided into a number of smaller open patches for which the sweep scanning is then individually planned. The recently emerged five-axis sweep scanning technology offers to be a powerful means to significantly increase the efficiency of measurement. Because a part such as an aero-engine blade is typically quite large, the efficiency of its measurement becomes a critical issue. Other applications of the proposed method include feature extraction, shape symmetrization, segmentation, and registration.īarrel-shaped surfaces are widely used in industries, e.g., blades, vases, and tabular parts. An application of the proposed method in sweep scanning is also presented. The experimental results are then compared with both the medial axis and the intrinsic symmetric axis, which are two popular feature representations of 3D shapes, and the advantages and uniqueness of the proposed method are convincingly demonstrated. The properties of the curved reflection symmetric axis are analyzed, and a novel computational model for detecting and extracting CRAs on free-form surfaces is presented. Compared with the general reflection symmetry, curved reflection symmetry is defined to be a reflection symmetry along a smooth 3D embedded curve instead of a plane, where any point on the curve is a local reflection center for some surface points. The extraction result is robust to boundary noises and strongly sensitive to extrinsic properties of the surface such as projected normals and curvatures. In this paper, we extract the curved reflection axes (CRAs) of an arbitrary free-form surface as features if they exist. Feature detection on smooth free-form surfaces is much more difficult than that on shapes with sharp features.
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