Ming-Ming Cheng(程明明）

I am a third year Ph.D Student of Department of Computer Science and Technology in Tsinghua University, under supervision of Prof. Shi-Min Hu. Before that, I received my bacholor degree from Department of Computer Science and Technology, Xidian University in 2007.

My research interests include: image and video processing, computer vision and machine learning.

My contact info:
Email: chengmingvictor at gmail dot com
Phone: 86-10-62797001-807 (Office)
Address: FIT Building 3-523, Tsinghua University, Beijing, P.R. China, P.C: 100084.

Abstract: We present a system that composes a realistic picture from a user provided sketch with text labels. The composed picture is generated by seamlessly stitching several photographs automatically searched from internet according to the sketch and its text labels. While on line image search generates noisy results, our system can automat ically select suitable photographs to generate a high quality com position. To achieve this, we first design a filtering scheme to exclude undesirable images from searched results. Then we propose a novel image blending algorithm for seamless image composition. Our blending algorithm returns a numeric score for each blending, which is used to optimize the combination of searched images. Several vivid results are generated in the experiments. We also perform a user study to demonstrate the advantages of our system. [Project page]

Note: I'm in charge of the image filter scheme in this work. I'll give a binary code for this part as well as detailed information about how to use it after our international patent apply.

Abstract:We present a novel image resizing method which attempts to ensure that important local regions undergo a geometric similarity transformation, and at the same time, to preserve image edge structure. To accomplish this, we define handles to describe both local regions and image edges, and assign a weight for each handle based on an importance map for the source image. Inspired by conformal energy, which is widely used in geometry processing, we construct a novel quadratic distortion energy to measure the shape distortion for each handle. The resizing result is obtained by minimizing the weighted sum of the quadratic distortion energies of all handles. Compared to previous methods, our method allows distortion to be diffused better in all directions, and important image edges are well-preserved. The method is efficient, and offers a closed form solution.

Note: Please contact me if you are interest in my source code.

Abstract:We propose a novel method for curve structure extraction of cartoon images. Our method handles two types of cartoon curves, decorative curves and boundary curves, in a uniform way. The method consists of two steps. First, we calculate curve points by applying non-maximal suppress on secondary derivative of cartoon images. Second, these curve points are linked together to form structure curves while unreliable curves are removed away. Compared to curve structure extraction algorithm proposed by Steger, the number of curves generated by our algorithm is only 19% of Steger’s on average, with better curve quality. Furthermore, more accurate curve position can be obtained by our method.

Note: Please contact me if you are interest in my source code.

Abstract:Public lighting consumes 30% of the amount of electric power in the entire lighting system and seems to be a growing tendency of bottleneck in energy conservation. In this paper, Starswave, an intelligent street lamp control system, is present to address this problem. It incorporates LEDs to replace the traditional lamps, utilizes the sensors, and controls light switches according to the arrival and departure of vehicles in an intelligent way. In addition, it collects and analyzes the related information from various sources, such as Internet and weather broadcast to improve the management and maintenance of lamps. This paper first describes the design of system components and their implementation, and then provides an algorithm description in details. Of particular concern is the way in which both components and algorithms work together. Further, an extensive experiment study was conducted and the results show that Starswave achieves both high system performance and energy conservation, and outcomes the traditional public lighting facilities significantly.

My parents live in rural area at western part of China. They are experienced primary school teachers. They bring me as well as their students happy live and energetic mind.

Except teaching in school, they also do some farm work and making a lot of handwork at spare time. This brings me a lot of fresh fool as well as beautiful hand make daily necessities. Though living in a simple environment, they are always optimistic and helpful.

My sister is a third year student in Xi’An university of Technology. She is a very hard working girl and always full of unbounded confidence. She likes traveling a lot and always enjoys that. Be sincerely to others, she has many good friends.

My girl friend is a sencond year student of Institute of Foreign Languages in Shandong University of Technology. She has special gift in studying foreign languages and literature.

She is a lovely girl with versatile talent. Be very good at dancing, sing and drawing, she is the literary committee member of her class. She has many interests including traveling, singing and so on. But her favorite interest is eating, eating a lot every day with great varieties.