In this work we propose a new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classical snake attracted by edge points, it deforms due to a generalised contour representation. The snake selects and classifies image features by a parametric classifier and each snaxel deforms to minimise the dissimilarit...

The paper is focused on the problem of estimating 3D structure and motion of nonrigid object from a monocular video sequence. Many previous methods on this problem utilize the extension technique of factorization based on rank constraint to the tracking matrix, where the 3D shape of nonrigid object is expressed as weighted combination of a set of shape bases. All these solutions are based on th...

Solids of revolution (vases, bottles, bells, . . .), shortly SORs, are very common objects in man-made environments. We present a complete framework for 3D database population from a single image of a scene including a SOR. The system supports human intervention with automated procedures to obtain good estimates of the interest entities needed for 3D reconstruction. The system exploits the spec...

We present an interactive application for browsing severely damaged documents and other cultural artefacts. Such documents often contain strong geometric distortions such as wrinkling, buckling, and shrinking and cannot be flattened physically due to the high risk of causing further damage. Previous methods for virtual restoration involve globally flattening a 3D reconstruction of the document ...

Due to recent improvements in 3D acquisition and shape processing technology, the digitization of Cultural Heritage (CH) artifacts is gaining increased application in context of archival and archaeological research. This increasing availability of acquisition technologies also implies a need for intelligent processing methods that can cope with imperfect object scans. Specifically for Cultural ...

An automatic parking system provides convenience for drivers by automatically finding free parking spaces and steering automobiles toward them. This paper proposes a vision-based free parking space detection system. The proposed method consists of two stages. First, the automobile rearview is three-dimensionally reconstructed using the optical flow-based method. The metric information is recove...

Despite the recent advances in 3D reconstruction from images, the state of the art methods fail to accurately reconstruct objects with reflective materials. The underlying reason for this inaccuracy is that the detected image features belong to the reflected scene instead of the reconstructed object and do not lie on the surface of the object. In this study, we propose a method to refine the 3D...

A method based on computer vision technologies is presented to achieve the function that the simulated motion in sport simulation system and the motion in sport video are presented on the same screen and at the same view point. The proposed method first applies the camera self-calibration theory to obtaining camera intrinsic parameters in sport video according to the 2D video features correspon...

This paper presents a quantitative analysis of the structural parameters of gelatin gel networks derived from transmission electron micrographs. The network gel replicas were obtained by a quick-freezing, deep-etching and rotary replication method adapted to the study of fragile physical networks by Favard P. et al. (Biol. Cell 67 (1989) 201-207). Stereo electron micrographs were taken by tilti...

We present an original multiple views method to perform a robust and detailed 3D reconstruction of a static scene from several images taken by one or more uncalibrated cameras. Making use only of fundamental matrices we are able to combine even heterogeneous video and/or photo sequences. In particular we give a characterization of camera matrices space consistent with a given fundamental matrix...