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Previous work on disparity map fusion has mostly focused on geometric or statistical properties of disparity maps. Since failure of stereo algorithms is often consistent in many frames of a scene, it ...
In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC / Medicis is a sub-pixel two-dimensional stereo matching algorithm that...
An image-based 3D surface reconstruction technique based on simultaneous evaluation of reflectance and polarisation features is introduced in this paper. The proposed technique is suitable for ...
(Zitnick and Kanade, 2000) proposes a cooperative approach for disparity estimation from stereo imagery based on support and inhibition in three-dimensional (3D) disparity space. By several means we o...
In this paper, we propose a learning based approachto estimating pixel disparities from the motion informationextracted out of input monoscopic video sequences. We representeach video frame with super...
A novel multi-view stereo reconstruction method is presented. The algorithm is focused on accuracy and it is highly engineered with some parts taking advantage of the graphics processing unit. In add...
This paper presents algorithms and investigations on the automated detection, classification and mapping of road signs which systematically exploit depth information from stereo images. This approac...
This paper presents a fast obstacle detection (OD) system based on stereo vision for Unmanned Ground Vehicle (UGV) navigation in unstructured environment. In order to make the UGV adaptable to more...
Recently, multiview video coding has attracted great attention from industries and research institutes.However, the heavy computational complexity limits its practical applications. In this paper, a f...
Recently, multiview video coding has attracted great attention from industries and research institutes. However, the heavy computational complexity limits its practical applications. In this paper, a ...
Mixed Presence Groupware (MPG) supports both co-located and distributed participants working over a shared visual workspace. It does so by connecting multiple single-display groupware workspaces toget...

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