Ming-Ching Chang

Title: Innovations of Ming-Ching Chang

Introduction

Ming-Ching Chang is a notable inventor based in Clifton Park, NY (US), recognized for his contributions to the field of three-dimensional modeling and image processing. With a total of 8 patents to his name, he has made significant advancements in technologies that enhance the efficiency and quality of 3D reconstruction.

Latest Patents

One of his latest patents is titled "Image and video capture architecture for three-dimensional reconstruction." This invention relates to an automatic and efficient motion plan for a drone, designed to collect and save a qualified dataset that can be utilized to improve the reconstruction of 3D models using the acquired data. The architecture provides an automatic image processing context, which eliminates low-quality images and enhances the image data for point cloud generation and texture mapping. Another significant patent is "Three-dimensional modeling of an object." This approach utilizes a point cloud of an object to initialize or seed a space carving technique for generating a 3D model. In this implementation, feature matching is performed on 2D images, with matched features forming the points of a point cloud model. The generated point cloud serves as input for a foreground/background segmentation algorithm, which produces a set of segmented 2D images used by a space carving routine to create a 3D model of the object.

Career Highlights

Ming-Ching Chang has worked with prominent companies such as General Electric Company and Smiths Detection Inc. His experience in these organizations has contributed to his expertise in the field of imaging and modeling technologies.

Collaborations

Some of his notable coworkers include Peter Henry Tu and Eric Michael Gros. Their collaboration has likely fostered innovative ideas and advancements in their respective projects.

Conclusion

Ming-Ching Chang's work in the realm of 3D modeling and image processing showcases his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving the quality and efficiency of 3D reconstruction methods.