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Chao-Yin Hsiao

dblp:33/1482 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › machining
CNC machining
0.011998
CNC machine tool interpolator with path compensation for repeated contour machining · Comput. Aided Des. 1998
Computational fabrication › machining
tool path compensation
0.011998
CNC machine tool interpolator with path compensation for repeated contour machining · Comput. Aided Des. 1998
YearPublicationVenuePosition
2007 STL mesh reconstruction for bio-medical rapid prototyping model
abstract
This paper presents the construction of 3D rapid prototyping (RP) physical models for computer tomography (CT) medical images. By using STL (Stereo Lithography) triangular meshes as basis for 3D construction, the process for RP model construction can be simplified via point data without turning them into curves. Grey prediction theory is used to sort out contour point data in each layer of the medical image. Using contour difference detection operation, the sequence is completed operation through the cross-sectional contours. The 3D solid model constructed via layer by layer meshes is to build the STL file. After saving as STL file, 3D solid model of the medical image is displayed with RP and its virtual reality presentation. Two case studies, human braincase and femur bone are used as case study for construction of 3D solid model with medical images. The method is successful and a number of steps are simplified. The two solid models are compared with curves swept-blend CAD models for analysis. The results show that differences between the two methods are in an acceptable range; therefore, it is shown that this method is feasible for reconstructing 3D models from CT medical images.
Chung-Shing Wang, Chao-Yin Hsiao, Teng-Ruey Chang, Chin-Kun Teng
SMC2
1998 CNC machine tool interpolator with path compensation for repeated contour machining
Chih-Ching Lo, Chao-Yin Hsiao
Comput. Aided Des.2