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This work presents the 3D reconstruction of the archeology objects in underwater environment. The videos and images are obtained from a calibrated camera system. The features of interest between image pairs are selected by the FAST detector and FLANN descriptor. Subsequently, the RANSAC method is applied to reject outlier points. The putative inliers are matched by triangulation to produce sparse...
The underwater cartography has made great progress in the last decade. In this paper, we discuss of the 3D underwater cartography problem and propose a multimodal fusion approach. The work presented in this paper is about the analyze and 3D reconstruction of archeological objects. Using an uncalibrated single camera, we propose to describe a method with enables first, to calibrate this camera integrating...
This article presents a new method for estimating the pose of para-catadioptric vision systems. It is based on the estimation of vanishing points associated with vertical edges of the environment. However, unlike classical approaches no feature (line, circle) extraction and/or identification is needed. A sampled domain of possible vanishing points is tested and histograms are build to characterize...
Performing motion tracking in real-time is an old and recurrent problem in computer vision. It has been addressed through a large set of approaches but achieving a high level of robustness is still a challenge, especially with low definition input. In the considered application, tracking the heart motion in endoscopic beating heart sequences, the sensitivity of existing algorithms to visual artifacts...
This paper deals with the influence of the echographic probe pressure on the measurement of arterial diameter. It is common sense that arterial diameter measurements are affected by the pressure exerted on the B-mode ultrasound probe but we found no report in the current literature analyzing and quantifying this effect. We demonstrated this influence by the analysis of arterial images obtained with...
Texture features are widely used for image classification and retrieval. They offer an efficient way to add prior knowledge in image processing, using an appropriate prior parametrization. In this paper, we present the methods we used to select among numerous existing features the most adapted to deal with beating heart tracking, using an experimental database of images and data mining techniques...
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