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Recently, researchers have made great processes to build category-specific 3D shape models from 2D images with manual annotations consisting of class labels, keypoints, and ground truth figure-ground segmentations. However, the annotation of figure-ground segmentations is still labor-intensive and time-consuming. To further alleviate the burden of providing such manual annotations, we make the earliest...
In this paper, we proposed an efficient framework for depth estimation from a single 2D face image to apply in 3D face reconstruction. The proposed framework consists of three components. Firstly, we recover the corresponding 2D images from 3D face models of database, and the feature points of these images will be extracted to form the 2D-3D database. Secondly, the same feature points extraction steps...
We present a new method for non-rigid registration with multiple features in this work. The proposed method is based on an alternating two-step process: correspondence estimation and transformation updating. We first define two vector features for measuring global and local structural differences between two point sets, respectively. We then combine the two features to build a multi-feature based...
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