3D Model Compression over ASCII Encoded Using Rotational and Reflective Symmetry

Tayangkanon, Thanyatorn; Sompagdee, Pavadee; Li, Xin

doi:10.1109/kst.2018.8426067

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…CASD has been the subject in different research fields, such as mathematics [17], mechanical engineering [8], computer engineering [18], civil engineering [19], medicine [20], etc. When it comes to mechanical engineering, CASD has been explored for retrieval [21], compression [22], and alignment [23,24] of 3D CAD models, finite element analysis [4], design for assembly [8], and in reverse engineering for detection of design intent in scanned 3D CAD models [25].…”

Section: Computer-aided Symmetry Detectionmentioning

confidence: 99%

“…To evaluate the coincidence criterion, the mid-point between two face centroids for each face pair is evaluated with respect to the corresponding plane of symmetry candidate by means of the point-to-plane distance analogous to Equation (22), in this case, denoted as d M . The point-to-plane distance d M needs to be within a specified tolerance d M ≤ ε to fulfill the coincidence criterion.…”

Section: Reflectional Symmetrymentioning

confidence: 99%

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A Framework for Detection of Exact Global and Partial Symmetry in 3D CAD Models

2023

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The most common way to retrieve symmetry information (i.e., the planes and axes of symmetry) in 3D CAD models is through visual recognition by engineers. However, engineers are not able to visually recognize exact symmetry in any CAD model, and their ability to recognize symmetry decreases as the number of CAD models increases. To overcome these limitations, computer-aided symmetry detection is employed, which enables the (semi)automatic extraction of the symmetry information in CAD models. Hence, the present paper introduces a symmetry detection framework for 3D CAD models with boundary representation. The novelty of this research was that it addressed the detection of exact and partial axi- and reflectional symmetry in CAD models with analytic and numeric surfaces. Further, symmetry measures were proposed to differentiate exact, partial, or non-symmetry in the CAD model. The framework was implemented into a state-of-the-art CAD system and subjected to performance and time complexity validation. The results showed that the implemented framework’s performance was 0.94 F1-score, and the time complexity was linear with respect to the number of faces in the CAD model. Hence, it was concluded that the framework is suitable for industrial applications to support engineers in symmetry detection.

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