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This paper addresses a local formation tracking control for multiple first-order agents in 3D space, where each agent's trajectory converges to the given super-ellipsoid and the tracking target is movement with an unknown speed. Differing from the using of GPS in the literature, a new distributed solution is given based on local measurements of relative position. To develop the spherical formation...
This article proposes a solution to the problem of forcing multiple agents to formation tracking a family of given concentric spheres when the communication topology is directed. Each agent under consideration has intrinsic second-order nonlinear dynamics. By using our previous concentric compression method, the cooperative control system can be regarded as a cascade system composed of the spherical...
An approach to create fixation density maps(FDM) for stereoscopic images is proposed in this paper, overcoming the shortages of current methods. A new representation of stereoscopic images like Computed Tomography(CT) is used, which can show more information such as depth and discomfort zone. Apart from this, we follow the protogenetic 2D calibration of eyetracker by a 3D offline calibration to gain...
This paper presents an approach for dense depth estimation taking the input of a trinocular stereo. The approach works with a global energy minimization framework based on Markov Random Field models. The occlusion and spatial consistency constraints are explicitly considered in an iterative fashion. Depth maps are initialized by belief propagation using AD-Census metric, and then refined by Mean Shift...
This paper focuses on discomfort assessment issue for S3D images with multiple salient objects, and proposes four kinds of visual features of S3D images that have potential correlations with visual discomfort, including disparity distribution features, disparity jump features, object distribution features as well as object width features. A stereoscopic image database is designed focusing on multiple...
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