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We propose a map building system for generation of 3D city models using a vehicle equipped with LIDAR (Light Detection And Ranging) technology, which is capable of obtaining more than one million points per second. This approach is based in two methods: plane segmentation and local map construction. The First method introduces a fast method to extract the ground plane. The rest of the points are used...
Contour curves matching technique was researched for mosaicing 3D broken objects. Method of 3D curves matching based on direction angles of junctions was presented. Contour curves were filtered and re-sampled. The feature vectors of contour curves were represented by direction angles of junctions on contour curves. Similarity between two contour curves was determined by comparing feature vectors of...
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the extracted region to a reference. Here, we present an alternative approach to constrain the evolution of the region growing method in respect to a fixed reference shape. This approach is based on a shape description by the...
In this work we present the segmentation and classification of 3D hand trajectory. Curvatures features are acquired by (r, ??, h) and the hand orientation is acquired by approximating the hand plane in 3D space. The 3D positions of the hand movement are acquired by markers of a magnetic tracking system. Observing humans movements we perform a learning phase using histogram techniques. Based on the...
This paper presents experiments of an approach based on Ncut to recognize object in brain MR images which are relevant with each other. The approach can consider the features in the 3D space through reconstruction weight matrix while using normalized cut. The eigenvectors of the weight matrix show segmentation of the images, and the object is recognized. In contrast with the original, the improved...
In this paper, we present a new approach for segmentation of tubular structures in 2D images providing minimal interaction. The main objective is to extract centerlines and boundaries of the vessels at the same time. The first step is to represent the trajectory of the vessel not as a 2D curve but to go up a dimension and represent the entire vessel as a 3D curve, where each point represents a 2D...
We proposed a method to auto-extract contour sketch from color image. Firstly, we get binary image through OTSU method, and then trace the contour of the binary image. Secondly, map the contour to the specified sketch plane. We use Hough Transform to detect all possible line segments in the contour, use Randomized Circle Detection algorithm to get all possible circular arcs, and then determine the...
Exploiting geometric features, such as points, straight or curved lines and corners, plays an important role in object recognition. In this paper, we present a model-based recognition of 3D objects using intersecting lines. We concentrate on using perpendicular line pairs to test recognition of a parallelepiped model and represent the visible face of the object. From 2D images and point clouds, first,...
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