Lingni Ma

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Lingni Ma
PhD. Candidate

Lingni Ma received her BSc in Electrical Engineering from Zhejiang University, China, 2010. During 2010 and 2012, she was granted the Talented Student Scholarship for her master study from Eindhoven University of Technology, the Netherlands, and received her MSc in Electrical Engineering with cum laude in 2012. Afterwards, Lingni joined the SPS-VCA research group to pursue her PhD.

Lingni's research focus on real-time 3D photo-realistic modeling and semantic SLAM systems for arbitrary objects and scenes settings. Her research finds wide applications in robotics, autonomous vehicles, virtual/augmented reality, 3D printing, environment-based gaming and etc. Since her master graduation project, Lingni has been intensively involved in 3D point clouds segmentation, triangulation and colored model reconstruction. In particular, she has developed a segmentation algorithm to detect planar surfaces in 3D point clouds using the curvature. She has also proposed an triangulation algorithm for planar segments. Using a quadtree structure, the algorithm approximately decimates 90% unnecessary surface points and gives a highly simplified mesh, while preserving geometry features. These algorithms are especially useful to triangulate large-scale point clouds of environments obtained from laser scans or dense RGB-D mapping systems. In addition, Lingni has worked on algorithms to reconstruct detailed 3D colored models, taking mesh and multiview images as input. The algorithm blends multiview images for a consistent coloring and adaptively interpolates surface points for a detailed coloring. Recently, Lingni has put more focus on building a real-time reconstruction and semantic SLAM system. She experiments mainly with low-cost hand-held sensors, such as the Kinect RGB-D camera. She is especially interested in developing intelligent systems and algorithms to provide semantic understandings of an environment and to integrate such information into mapping and tracking.

Lingni has a solid mathematical background. She is familiar with Linux and is a well-experienced programmer in C/C++, CUDA, CMake, Latex and Matlab. She works with multiple open source libraries, including PCL, OpenCV, OpenNI and etc. In her free time, Lingni enjoys painting, sporting and travelling.