Zhenshen Qu

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Multi-photon fluorescence microscopy (MFM) captures high-resolution anatomical and functional fluorescence image sequences and can be used for the intact brain imaging of small animals. Recently, it has been extended from imaging anesthetized and head-stabilized animals to awake and head-restrained ones for in vivo neurological study. In these applications,(More)
Object tracking is the key issue for autonomous mobile robot navigation. In this paper, a method of mobile robot object tracking is put forward based on feedback of monocular-vision. This method implements object tracking through identifying the special sign. And this method can also simulate the spacecraft RVD. Experiments show: the method is effective for(More)
The knowledge of the pose and the orientation of mobile robot in its operating environment is of utmost importance for an autonomous robot. In this paper, we present a new robot localization method integrates distributed vision sensors with Monte Carlo localization (MCL) method. Firstly, an improved MCL method is used to estimates the posterior distribution(More)
Multi-photon fluorescence microscopy (MFM) captures high-resolution fluorescence image sequences and can be used for the intact brain imaging of small animals. Recently, it has been extended from anesthetized and head-stabilized mice to awake and head-restrained ones for in vivo neurological study. In these applications, motion correction is an important(More)
Aiming at the problem of obstacles avoidance from a single camera mounted on a robot in an unstructured indoor environment, the paper proposed an algorithm based on template matching. Firstly, the scenepsilas free space and obstructed space can be obtained by means of template matching. Secondly, we can get the robotpsilas running orientation and speed from(More)
A background modeling method for motion-based background of a video made by moving camera is proposed in this paper. We utilize the recently proposed context-encoder to model the motion-based background from a dynamic foreground. This method aims to restore the overall scene of a video by removing the moving foreground objects and learning the feature of(More)
This paper proposes a new algorithm for dense optical flow computation. It combines Gabor filter texture description in a variational framework. The textural features with spatial Gabor filter group are used as an extension to the original bright constant model. The corresponding global energy functional is established, and the flow field at each pixel of(More)
To solve the problem of edge blurring and inaccuracy in image interpolation, we propose an edge-preserving interpolation method based on in-pixel grayscale modeling and adaptive weighted linear interpolation. First, edges are determined by integrating the grayscale changes of the image window and calculating the maximal eigenvalue of the result matrix. Then(More)