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Classical direct volume rendering techniques accumulate color and opacity contributions using the standard volume rendering equation approximated by alpha blending. However, such standard rendering techniques, often also aiming at visual realism, are not always adequate for efficient data exploration, especially when large opaque areas are present in a data set, since such areas can occlude important...
In this paper, we propose a novel wavelet moment-based surface light source (WM-SLS) descriptor and enhanced Gaussian potential function-based silhouette (GPF-S) descriptor, and on the basis of combination with Adaboost relevance feedback, to build a 3D model retrieval of two-stage strategy. PCA method for model normalization is introduced to obtain optimal bounding box at first. Secondly, the first...
In this paper, we present a new approach for segmentation of tubular structures in 2D images providing minimal interaction. The main objective is to extract centerlines and boundaries of the vessels at the same time. The first step is to represent the trajectory of the vessel not as a 2D curve but to go up a dimension and represent the entire vessel as a 3D curve, where each point represents a 2D...
There have been many approaches to obtain 3D modeling and camera calibration simultaneously from uncalibrated images using parallelism, orthogonality and self-calibration constraints. These approaches can give more stable results with fewer images and allow us to gain the results with only linear operations in most cases. It has been proved that the estimation results are accurate enough to be used...
A fully automatic 3D reconstruction method based on images without manual modeling is presented in this paper. The method extracts 3D information from 2D images directly. Firstly, the feature points must be extracted from the images and then we match these corresponding points. Secondly, to determine the coordinates of 3D points, we should calculate the fundamental matrix, along with the extrinsic...
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