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This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted...
This paper proposes the use of Particle Swarm Optimization (PSO) to work with an Enhanced-ICP to effectively filter out outliers and avoid false matching points during the map building of an unknown environment, where PSO is used to solve the local optima problem to obtain better transformation results for two data sets with excessive difference in initial position and direction. Then, we use part...
This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted...
Iterative Closest Point (ICP) algorithm is widely used in 2D and 3D spatial and geometric alignment. There are many variants of the ICP algorithm, proposing methods to minimize the sum of Euclidean distances between two clouds of scanning points for map building of an unknown environment by a mobile robot. Considering simplicity and computational efficiency, this paper proposes an enhanced-ICP incorporating...
This paper presents an image-based framework for measuring target objects on an oblique plane by using a single CCD camera and two parallel laser projectors beside the camera. Because of the alignment of the laser beams which form in parallel with the optical axis, projected spots in the image can be processed to establish relationships between distance and pixel counts between the projected spots...
This paper presents an image-based system for measuring target objects on an oblique plane based on pixel variation of CCD images for digital cameras by referencing to two arbitrarily designated points in image frames. Based on an established relationship between the displacement of the camera movement along the photographing direction and the difference in pixel counts between reference points in...
This paper presents a practical nighttime vehicle distance measuring method based on a single CCD image. The method combines an image-based distance measuring system. To solve the nighttime feature extraction problem, the proposed method uses two taillights as the feature. Based on the proportionality of similar triangles, distance between a CCD camera and the taillights of the vehicle ahead can be...
In this paper, a novel distance measuring method to measure the height of a building is proposed. Traditionally, distance measuring using CCD is based on stereo parallax. This paper puts forward a method of measuring the width and height of a building regardless of the distance of the camera or the angle between optical axis and ground. By using two parallel laser spots, the distance from the camera...
Optical Linear Scales was used on any type of manufacturing machine. The fixed structure was reserved before assemble machine structure. It was complex of design and machining of a manufacturing machine. This research provides a new cerebration of theorem for non-contact image-based distance measuring type. It only fixed a circle plate of given dimensions under non-change the machine structure. As...
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