Dengming Zhu

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The absolute orientation technique, minimizing the mean squared error between two matched point sets under similarity transformations, has numerously applied in the areas of photogrammetry, robotics, object motion analysis as well as object pose estimation following recognition. Based on it, in this paper, a total least squares fitting algorithm, which(More)
Polluted water is very common in our world. Vividly rendering polluted water can bring people real, different, and fancy feelings. Especially in under water imagery, taking polluted water into consideration will produce more plausible results. Polluted water consists of many kinds of pollutants, which interact with light differently and make water look(More)
High-level control of fire is very attractive to artists, as it facilitates a detail-free user interface to make desirable flame effects. In this paper, a unified framework is proposed for modeling and animating fire under general geometric constraints and evolving rules. To capture the fire projection on user’s model animation, we develop a modified(More)
Based on the classic absolute orientation technique, a new method for least-squares fitting of multiple point sets in m-dimensional space is proposed, analyzed and extended to a weighted form in this paper. This method generates a fixed point set from k corresponding original m-dimensional point sets and minimizes the mean squared error between the fixed(More)
In this paper, we propose a practical and systematical solution to the mapping problem that is from 3D marker position data recorded by optical motion capture systems to joint trajectories together with a matching skeleton based on least-squares fitting techniques. First, we preprocess the raw data and estimate the joint centers based on related efficient(More)
We present a skeleton-based control method for fluid animation. Our method is designed to provide an easy and intuitive control approach while producing visually plausible fluid behavior. In our method, users are allowed to control animated fluid with skeleton keyframes. Expected results are then obtained by driving fluid towards a sequence of targets(More)
The physical correctness of motion capture data is important for human motion analysis and athlete training. However, until now there is little work that wholly explores this problem of analyzing the physical correctness of motion capture data. In this paper, we carefully discuss this problem and solve two major issues in it. Firstly, a new form of(More)
We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD cameras. Leveraging the smear feature of the CCD chip, we present a technique for synchronizing CCD cameras while capturing flame videos(More)