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In this paper, integrating boundary and region information of medical images, we propose a novel hybrid segmentation method based on level set. The main contributions of this paper are to modify the velocity function for the boundary-based level set method, and to design a novel energy function as a stopping criterion. This velocity function is modified according to the statistical characteristics...
High dimensional and high-resolution gene expression data generated by the in situ hybridization (ISH) technique provides biologists a powerful tool to study gene functions. Nevertheless, a major challenge in analyzing such data is how to efficiently retrieve genes showing certain spatial expression patterns and/or genes showing similar expression patterns as the query gene. The development of a fast...
This paper presents 6-DOF monocular EKF-SLAM with undelayed initialization using linear landmarks with extensible endpoints, based on the Plu??cker parametrization. A careful analysis of the properties of the Plu??cker coordinates, defined in the projective space P5, permits their direct usage for undelayed initialization. Immediately after detection of a segment in the image, a Plu??cker line is...
This paper presents a feature based 3D mapping approach with regard to obtaining compact models of semi-structured environments such as partially destroyed buildings where mobile robots are to carry out rescue activities. To gather the 3D data, we use a laser scanner, employing a nodding data acquisition system mounted on both real and simulated robots. Our segmentation algorithm comes up from the...
This paper describes a new approach to extract planar features from 3D range data captured by a range imaging sensor-the SwissRanger SR-3000. The focus of this work is to segment vertical and horizontal planes from range images of indoor environments. The method first enhances a range image by using the surface normal information. It then partitions the Normal Enhanced Range Images (NERI) into a number...
This paper presents a new 3D representation for non-rigid objects using motion vectors between two consecutive frames. Our method relies on an octree to recursively partition the object into smaller parts for which a small number of motion parameters can accurately represent that portion of the object. The partitioning continues as long as the respective motion parameters are insufficiently accurate...
In this paper we present a framework for 3D geometric shape segmentation for close-range scenes used in mobile manipulation and grasping, out of sensed point cloud data. Our proposed approach proposes a robust geometric mapping pipeline for large input datasets that extracts relevant objects useful for a personal robotic assistant to perform manipulation tasks. The objects are segmented out from partial...
Recent advancements of 3D computer graphics hardware systems have made possible the handling of 3D volumetric data, and the amount of the available data has increased for various scientific fields. This paper proposes a pattern feature extraction method for 3D volumetric data. Pattern features are important for systems which require segmentation and classification. In this paper, the laws texture...
This study establishes a new painting experience that entails an AR-based approach that augments regular freehand 2D sketches into a Chinese painting artwork. Within the study, the realistic diffusion of ink can be interactively generated for users to create works inspired by the Chinese painting style as well as to unveil the opportunity for users to model up their own augmented information without...
In this work, a modified Fourier Transform Profilometry method, together with the region post-processing (where the object to digitize is located) is used as a 3D reconstruction system for solid objects. By projecting a sinusoidal fringe pattern with a known spatial frequency on the object, a vision system is capable of infer the object's depth information. First, the fringe pattern is projected on...
This paper describes a new approach to automatic detection and 3D measurement of a rectangular solid in a single image shot under two imaging conditions. We find its six outer vertices in the image by searching the largest convex hexagon with a sufficiently small back projection error, and determine their 3D coordinates by using the rectangularity constraint. Experimental results show the accuracy...
This paper presents a line matching method for the reconstruction of 3D line segment, based on geometric and intensity information. Line matching is a difficult task in the area of stereo vision, since it relies on incomplete line data. A set of line attributes is used to match a pair of 2D lines. Line attributes consist of intensity information and geometric information including length, orientation,...
Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient...
We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular, we begin with a novel characterization of vertices as convex, concave or hyperbolic based upon their discrete local geometry. Hyperbolic and concave vertices are considered potential feature region boundaries. We propose...
This paper presents a vision-based road-barriers detection method. Because horizontal structures are hard to detect by binocular stereovision, object detection methods based on 3D points grouping fail to detect the barriers as obstacles and consequently specific ACC applications as longitudinal control will fail to react when the vehicle path is obstructed by such an object. Therefore the proposed...
The methods presented in this paper aim at detecting and recognizing players on a sport-field, based on a distributed set of loosely synchronized cameras. Detection assumes player verticality, and sums the cumulative projection of the multiple views' foreground activity masks on a set of planes that are parallel to the ground plane. After summation, large projection values indicate the position of...
The development of 3D ultrasonic technology and its extensive applications in industrial and medical fields are introduced firstly. At the following time, the principle of ultrasonic testing, the ultrasonic signal processing and the mathematical modeling are put forward. Next, a data processing method of defect positioning to reconstruct a 3D graph based on splicing technology and segmentation method...
A novel 3D model segmentation and retrieval method was introduced in this paper that is based on the topological information and partial geometry features of 3D mode. The proposed algorithm extracts feature for every triangular piece using flatness of a triangular, and partitions the 3D model into a set of triangular pieces with different flatness. Then, a watershed-based algorithm is developed and...
This paper highlights 3D building rooftop detection procedure based on 3D line data. Our approach begins with area-based stereo matching method to generate digital elevation map (DEM). Subpixel interpolation, normalized cross correlation and multi-resolution scheme are employed to generate an elaborate DEM. 3D lines are evaluated by using line fitting of DEM on 2D line coordinates of ortho-image....
Otsu method is one of the most successful methods for image thresholding. This paper proves that the objective function of Otsu method is equivalent to that of K-means method in multilevel thresholding . They are both based on a same criterion that minimizes the within-class variance. However, Otsu method is an exhaustive algorithm of searching the global optimal threshold, while K-means is a local...
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