Ming-Ching Chang

chang_lems_01.jpg     I got my Ph.D. from the Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University at Sep., 2008.
    I am a computer scientist at the Visualization and Computer Vision (VCV) group at the GE Global Research Center since Nov. 2008.
    My research at LEMS supervised by Prof. Benjamin B. Kimia is primarily on computer vision, shapes/geometry, and medical imaging. Specifically, my works focus on 2D/3D medial representation (the ''shocks'' and the "Medial Scaffold") and their applications, e.g., shape (mesh) recontruction, geodesic computations, 3D medial axis regularization, symmetry-based shape matching, etc
E-mail: mcchang (at) lems.brown.edu.
View my Resume and CV (updated in May. 2008).
Visit my Personal Page , Web-Link Page, Blog, or Photo Blog.
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Ph.D. Research
I use the VXL (also LEMS VXL, GE VXL, ITK) C++ libraries for doing computer vision research.

Updates

2009 Sep.My papers are accepted to SPIE Medical Imaging 2010 (see below).
2009 Aug.My journal paper Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold to be published in CVIU is one of the top 25 downloaded computer science articles in ScienceDirect for the period covering April-June 2009.
2009 Aug.I am a member of Sigma Xi, The Scientific Research Society.
2008 Nov.I am a computer scientist with the Visualization and Computer Vision (VCV) group of the Imaging Technologies (ImT) Organization at the GE Global Research Center, Nisuayuna, NY, USA.
2008 Sep.I get my Ph.D. from the Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University.
 
Selected Peer-Reviewed Journal Publications
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Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, appear online, Computer Vision and Image Understanding (CVIU), Vol. 113, Issue 11, pp. 1130-1146, Elsevier, Nov. 2009. (Top 17 downloaded computer science articles in ScienceDirect during April-June 2009)
Paper (final draft, final proof), BibTex.
chang_fast_inspection_ijprai01.png Fast Search Algorithms for Industrial Inspection

Ming-Ching Chang, Chiou-Shann Fuh, and Hsien-Yei Chen, “Fast Search Algorithms for Industrial Inspection,” International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 15, No. 4, pp. 675-690, 2001.
Paper (PDF), BibTex.

Selected Peer-Reviewed Conference Publications
chang_cortical_spie10.pngSubvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion

Ming-Ching Chang and Xiaodong Tao, “Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion  ”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010.
Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex.
tao_skullstrip_spie10.pngA Skull Stripping Method Using Deformable Surface and Tissue Classification

Xiaodong Tao and Ming-Ching Chang, “A Skull Stripping Method Using Deformable Surface and Tissue Classification”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010.
Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex.
chang_bone_spie10.pngReliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement

Ming-Ching Chang, Nhon H. Trinh, and Benjamin B. Kimia, “Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010.
Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex.
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Measuring 3D Shape Similarity by Matching the Medial Scaffolds

Ming-Ching Chang and Benjamin B. Kimia, “Measuring 3D Shape Similarity by Matching the Medial Scaffolds”, accepted to the 3-D Digital Imaging and Modeling (3DIM) Workshop in conjunction with the IEEE International Conference on Computer Vision (ICCV) Kyoto, Japan, Oct. 2009. (Acceptance rate 45%)
Paper (PDF), Poster (PPT), BibTex.
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Regularizing 3D Medial Axis Using Medial Scaffold Transforms

Ming-Ching Chang and Benjamin B. Kimia, “Regularizing 3D Medial Axis Using Medial Scaffold Transforms”, accepted to IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 2008. (Acceptance rate 32%)
Paper (PDF), Poster (PPT), BibTex.
chang_mesh_3dim07 Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, the first oral presentation after the key note in IEEE 3-D Digital Imaging and Modeling (3DIM), Montreal, Canada, pp. 13-20, August 2007.
Paper (PDF), Presentation (PPT, also download Videos and put into the same directory), Poster (PPT), BibTex
Code.
images/chang_registration_3dpvt04 3D Shape Registration using Regularized Medial Scaffolds

Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “3D Shape Registration using Regularized Medial Scaffolds”, oral presentation in IEEE 3D Data Processing, Visualization and Transmission (3DPVT), Thessaloniki, Greece, pp. 987-994, September 2004.
Paper (PDF), Presentation (PPT), BibTex, Code.
Fast Search Algorithms for IC Printed Mark Quality Inspection
Ming-Ching Chang, H.-Y, Chen, and C.-S. Fuh, “Fast Search Algorithms for IC Printed Mark Quality Inspection”, Proceedings of IAPR Workshop on Machine Vision Applications (MVA), Chiba, Japan, pp. 183-188, 1998.

IC Printed Mark Quality Inspection Algorithms
Ming-Ching Chang, H.-Y, Chen, and C.-S. Fuh, “IC Printed Mark Quality Inspection Algorithms”, IPPR Conference on Computer Vision, Graphics, and  Image Processing (CVGIP), Taichung, Taiwan, pp. 540-547, 1997.

Thesis
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Ph.D. Thesis: The Medial Scaffold for 3D Shape Modeling and Recognition

Ming-Ching Chang, “The Medial Scaffold for 3D Shape Modeling and Recognition”, Ph.D. Dissertation, Division of Engineering, Brown University, Providence, RI, 02912 USA, Sep., 2008. BibTex.
Full thesis in 12 pt. font, single space, 194 pages (PDF, 31MB), or download in parts (Title, Ch.1, Ch.2, Ch.3, Ch.4, Ch.5, Ch.6, Ch.7, Ch.8, Ch.9, Ch.10, Ch.11Refs).
Full thesis in 11 pt. font, double space, 279 pages (PDF, 31MB) submitted to Brown Graduate School, available online at ProQuest.
Master Thesis: Fast Search Algorithms for IC Printed Mark Quality Inspection

Selected Talks, Posters, Demos