Jose Luis Alarcon-Herrera's research while affiliated with University of Windsor and other places
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Publications (7)
Based on a convex optimization approach, we propose a new method of multi-camera deployment for visual coverage of a 3-D object surface. In particular, the optimal placement of a single camera is first formulated as translation and rotation convex optimization problems, respectively, over a set of covered triangle pieces on the target object. The c...
The deployment of multi-camera networks is usually accomplished by maximizing the covered area, while the coverage strength is difficult to be optimized simultaneously. We propose a coverage enhancement approach in this paper to improve the coverage strength of three-dimensional (3D) scenes, by using convex optimization approach to refine the initi...
A semiautomatic model-based approach to the view planning problem for high-resolution active triangulation 3-D inspection systems is presented. First, a comprehensive, general, high-fidelity model of such systems is developed for the evaluation of configurations with respect to a model of task requirements, with a bounded scalar performance metric....
An automatic method for solving the problem of view planning in high-resolution industrial inspection is presented. The method's goal is to maximize the visual coverage, and to minimize the number of cameras used for inspection. Using a CAD model of the object of interest, we define the scene-points and the viewpoints, with the later being the solu...
In this brief, we present a method for automatic deployment of visual sensor networks. The solution is formulated as a greedy search by taking advantage of the topological properties of the vision graph. The optimization of the optical component of the vision system is solved using a geometrical approach. We show that the information about the reso...
We present a method for automatic deployment of visual sensor networks, based on a polygonal mesh model of the task. This method uses a graph-based approach to ensure an optimal level of visual overlap between the sensors. In this brief our method is further leveraged by increasing the size of the solution space, which in turn moves the solution cl...
Based on convex optimization techniques, we propose a new multi-camera deployment method for optimal visual coverage of a three-dimensional (3D) object surface. Different from existing methods, the optimal placement of a single camera is formulated as two convex optimization problems, given a set of covered triangle faces. Moreover, this idea is in...
Citations
... The challenge here is to determine suitable sensor placement (usually camera placement) that covers the entire surface to be monitored without gaps. For static (non-moving) parts, various methods already exist for automatic planning camera placement and optimization of surface coverage [3][4][5][6]]. An overview of the different methods is presented in [7]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/824648484790273-1573622928604_Q64/Xuebo-Zhang-3.jpg)
![[object Object]](https://i1.rgstatic.net/ii/profile.image/279038699556879-1443539418473_Q64/Xiang-Chen-82.jpg)
... In order to obtain a full coverage of the AvioAero gearbox, it is necessary to select the best position for the cameras inside the inspection cage. In [2], the authors propose a method to maximize the visual coverage and to minimize the number of cameras used for inspection. Starting from [2], we implement a slightly modified version of their algorithm that takes also into account the area of each surface triangle of the CAD model viewed by a camera. ...
... The model is the 3D data representation of the part's geometric structure. While early attempts to solve this problem made use of parametric expressions of part geometry [1,2], it has since become the standard in the literature to use tessellated model formats [2][3][4][5]. This means that instead of representing a part as a set of parameterized surfaces and edges, it is represented by a mesh, or tessellation, of small polygons. ...
... The model is the 3D data representation of the part's geometric structure. While early attempts to solve this problem made use of parametric expressions of part geometry [1,2], it has since become the standard in the literature to use tessellated model formats [2][3][4][5]. This means that instead of representing a part as a set of parameterized surfaces and edges, it is represented by a mesh, or tessellation, of small polygons. ...
... Unlike synthesis methods, sampling-based approaches do not rely on the explicit characterization of a search space. They evaluate the validity of each candidate viewpoint based on objective functions for each constraint on the viewpoint, which are solved by metaheuristic optimization algorithms, e.g., simulated annealing or evolutionary algorithms [30][31][32][33][34]. These approaches focus on the efficient formulation of objective functions to satisfy the viewpoint constraints and find valid solutions. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/540672416337921-1505917757434_Q64/Aaron-Mavrinac.jpg)
... In our previous work [19], [20], we presented a method for deployment of multiple cameras using a graph-based heuristic approach. In this paper we make use of our previous work to obtain an initial deployment of cameras, which is then refined by our convex optimization. ...
