Shape similarity measurement for 3D mechanical part using D2 shape distribution and negative feature decomposition

2011 ◽  
Vol 62 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Han-Chung Cheng ◽  
Cheng-Hung Lo ◽  
Chih-Hsing Chu ◽  
Yong Se Kim
Keyword(s):  
Similarity Measurement ◽  
Shape Similarity ◽  
Shape Distribution ◽  
Mechanical Part ◽  
Negative Feature

scholarly journals Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment

2019 ◽  
Vol 5 (10) ◽  
pp. 77
Author(s):  
Baptiste Magnier ◽  
Behrang Moradi
Keyword(s):  
Shape Matching ◽  
Performance Measure ◽  
Object Localization ◽  
Similarity Measurement ◽  
Shape Similarity ◽  
Image Normalization ◽  
Object Shape ◽  
Binary Images ◽  
Candidate Image ◽  
Matching Estimation

This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization. A performance measure is computed to quantify differences between a reference edge map and a candidate image. Normalization is appropriate for interpreting the result of the pose assessment. Furthermore, the new measure is well motivated by highlighting the limitations of existing metrics to the main shape variations (translation, rotation, and scaling), by showing how the proposed measure is more robust to them. Indeed, this measure can determine to what extent an object shape differs from a desired position. In comparison with 6 other approaches, experiments performed on real images at different sizes/scales demonstrate the suitability of the new method for object-pose or shape-matching estimation.

Evaluation of shape similarity measurement methods for spine X-ray images

2004 ◽  
Vol 15 (3) ◽  
pp. 285-302 ◽  
Author(s):  
Sameer Antani ◽  
D.J. Lee ◽  
L. Rodney Long ◽  
George R. Thoma
Keyword(s):  
Measurement Methods ◽  
Similarity Measurement ◽  
Shape Similarity ◽  
X Ray

scholarly journals A Moment-Based Shape Similarity Measurement for Areal Entities in Geographical Vector Data

2018 ◽  
Vol 7 (6) ◽  
pp. 208 ◽  
Author(s):  
Zhongliang Fu ◽  
Liang Fan ◽  
Zhiqiang Yu ◽  
Kaichun Zhou
Keyword(s):  
Similarity Measurement ◽  
Shape Similarity ◽  
Vector Data

scholarly journals Similarity Measurement of the Geometry Variation Sequence of Intermediate Process Model

2020 ◽  
Author(s):  
Chunlei Li ◽  
Liang Li ◽  
Xiaoye Wang
Keyword(s):  
Case Studies ◽  
General Framework ◽  
Process Model ◽  
Machining Process ◽  
Similarity Measurement ◽  
Specific Process ◽  
Mechanical Part

Abstract The reuse of machining process, by which the process for a new mechanical part is determined by referencing to the existing and matured processes, is an effective way of improving manufacturing and supporting innovation. To conduct the effective reuse it is necessary to express and retrieve a specific process. A kernel technique of the expression and the retrieval is to measure the similarity of part’s geometry variation during the machining. To address this problem, a general framework of measuring the similarity between parts is proposed in this work. The geometry variation sequence of intermediate process model is established, and then a method to measure its similarity is invented. Two case studies are rendered and the result reveals that the proposed method is effective and can provide the support for the process retrieval and reuse in industry.

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