Xing Xiong

Comparative Analysis of Detection Algorithms for Corner and Blob Features in Image Processing

Feature detection is very important to image processing area. In this paper we compare and analyze some characteristics of image processing algorithms for corner and blob feature detection. We also analyze the simulation results through image matching process. We show that how these algorithms work and how fast they execute. The simulation results are shown for helping us to select an algorithm or several algorithms extracting corner and blob feature.

Position estimation algorithm based on natural landmark and fish-eyes' lens for indoor mobile robot

Many generic position estimation algorithms are vulnerable to ambiguity introduced by no unique landmarks. Also, the available high-dimensional image data is not fully used when these techniques are extended to vision-based localization. In this paper, we consider the problem of mobile robot indoor position estimation using only visual information from a single camera which has a fisheye lens. The position estimation algorithm based on natural landmark identification and barrel distortion calibration. When mobile robot is indoor environment, usual behavior consists of memorizing some key points along the performed path to use these compared with references map.

A Replacement Algorithm of Fast Computing Interest Point’s Orientation and Descriptor in SURF for Self-localization Robot

In this paper, we design a replacement algorithm of fast computing interest point’s orientation and descriptor in the SURF. Comparing with original SURF, the replacement algorithm does not need to filter neighborhood region of the interest point once again after obtaining its orientation. So, the time is saved and computational complexity is reduced. And, it is verified by experimental analysis and results, that the replacement algorithms cost less time than original algorithm.

A Solution for Image Matching Error in SURF

SURF (Speeded Up Robust Features) is known to be a famous and strong but computationally still expensive.It has not attained real-time performance yet. In this paper we analysis the SURF in orientation and descriptors extraction method forresolvingsome problems. For example, matching images through the SURF algorithm spends too much time and causes some errors by integral images. We propose a novel orientation and descriptor algorithm to improve the conventional SURF. Theproposed method shows some advantages such as a faster speed.

Relative Self-Localization Base on Fish-Eye Lenses and SIFT Algorithm for Indoor Mobile Robot

In this paper, we consider the problem of mobile robot indoor position estimation using only visual information from a single camera. A camera which has a fish-eye lens is mounted on the top of the mobile robot and pointed to the ceiling. At the beginning of the visual positioning, we assume that we know the initial orientation and position of the mobile robot. Through the key point extraction, non-ceiling key point removal, key point calibration, ellipsoid construction and so on; the robot position and orientation can be determined after a short time moving.

Relative Self-Localization Estimation for Indoor Mobile Robot

It is important for an autonomous mobile robot to know where it is after movement. In this paper, we consider the problem of mobile robot indoor position estimation using only visual information from a single camera.

Design of Genetic Algorithm-based Parking System for an Autonomous Vehicle

A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.