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This paper describes a novel method for retrieving 3D models. Following the principle of compound-eye vision, the proposed method represents a 3D model as a spherical image, and discriminates different 3D models using their corresponding spherical images. Meanwhile, by borrowing the concept of the Scale-Invariant Feature Transform (SIFT) algorithm, we design a feature extraction algorithm, named Spherical-SIFT,...
Due to lack of effective model representation, current MBD models cannot perform well in manufacturing reuse. In this paper, a new multilevel structuralized MBD model for manufacturing reuse is presented to capture the abstract information, topological information and machining semantic information involved. Firstly, the machining features considered as the machining semantic carriers are recognized...
A novel 3D CAD model retrieval method using 2D representative views is proposed for the reuse of CAD models. Initially, a set of 2D projected views is generated from multiple viewpoints which are evenly distributed on the viewing sphere of a CAD model. Then, the Apriori algorithm is employed to select the representative views from the set. The similarity between 3D models is determined by the likeness...
An effective method for retrieving 3D models is to represent and discriminate them with their 2D images projected from multiple viewpoints. Such view-based methods conform more closely to human visual recognition for 3D model retrieval, since the human retina essentially captures 2D images. However, most of the existing view-based methods do not take into account that different views have different...
Boiling heat transfer in vertical rectangular mini-channels with a width of 2 mm and a length of 390 mm is studied in this paper. The courses of bubbles generation, growth and departure were numerically simulated, the influence of the wall overheating and the movement of bubble bottom micro-layer is analyzed and compared with the experimental datum. All the calculation conducted takes the gravity,...
This paper describes a new 3D model retrieval approach based on shape distributions, which represents a 3D shape as three D2 shape histograms. First, generate a sufficiently large number of random sample points on surface of 3D model and note the normal of each point. Second, we adopt the D2 shape function to measures the distance between two random points on the surface of the model, at the same...
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