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We investigate the existence of computationally inexpensive first and second order statistics that uniquely describe grass for application in an autonomous lawnmower. We then segment images based on these statistics to determine locations of driveable terrain in an image. Tight statistical clustering of illuminated grass versus artificial texture suggests that this method is sufficient for identifying...
In this paper, to provide a robot with information relative to structure of its environment, we propose a method to recognize types of structural corridor landmarks such as T-junction, L-junction, end of the corridor, using vanishing points-based visual image features and hidden Markov models. Several experimental results are illustrated to demonstrate the validity of the proposed approach in a real...
It is easy to be out of shape and deviation from original location after woven bag with loading. According to the characteristics, a new method is proposed to recognize technology of material bag image based on machine vision. The paper generates and analyzes the depth image of material bag, and the depth value can reflect the distance between material bag and the camera baseline. Through the analysis...
In this paper, we propose an algorithm to track welding line of TiG welding in welding pipe or tube. The proposed algorithm consists of detecting edge, binarization, segmenting target area, locating welding torch and locating welding line. Firstly, we use prewitt operator to form the edge of image which is acquired from industrial camera. Secondly, we achieve the binary image by using maximal variance...
In this paper, we propose an approach to the book recognition system where the books on bookshelves are detected and recognized by line segment, MSAC based dominant vanishing point detection, singular value decomposition (SVD) based text recognition and semantic network. Our system can be equipped to robot intelligence to handle some works such as arranging, searching books which had formerly done...
On the robot soccer field it is important to know where the camera is positioned to correct for parallax offsets resulting from the height of the robots. This paper demonstrates a novel method of estimating the camera position purely from the image of the robot soccer field. The principle is to back project the parallax resulting from the walls of the field. The lateral position of the camera may...
Doors are important landmarks for indoor mobile robot navigation. Most existing algorithms for door detection use range sensors or work in limited environments because of restricted assumptions about color, pose, or lighting. We present a vision-based door detection algorithm that achieves robustness by utilizing a variety of features, including color, texture, and intensity edges. We introduce two...
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