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Recognizing human faces in the wild is emerging as a critically important, and technically challenging computer vision problem. With a few notable exceptions, most previous works in the last several decades have focused on recognizing faces captured in a laboratory setting. However, with the introduction of databases such as LFW and Pubfigs, face(More)
The multiple enzymatic activities and functions of transglutaminase type 2 (TG2) may be attributed to alternative TG2 molecules produced by differential splicing of TG2 mRNA. Different RNA transcripts of the human TG2 gene (TGM2) have been identified, but the expression of TG2 multiple transcripts has never been systematically addressed. We have confirmed(More)
In this paper we propose to address the problem of 3D object categorization. We model the 3D object as a 2D Riemannian manifold and propose metric tensor and Christoffel symbols as a novel set of features. The proposed set of features capture the local and global geometry of 3D objects by exploiting the positional dependence of the features. The(More)
Social networks offer a wealth of information for capturing additional information on people's behavior, trends, opinions and emotions during any human-affecting events such as natural disasters. During disaster, social media provides a plethora of information which includes information about the nature of disaster, affected people's emotions and relief(More)
In this paper we address the problem of 3D super resolution. 3D super resolution is a process of generating high resolution point cloud, given a low resolution point cloud. We model 3D object as a set of Riemannian manifolds in continuous and discretized space. We propose to use Riemannian metric tensor and Christoffel symbols as a set of features to(More)
We address the problem of 3D inpainting using ROI-based method for point cloud data. We focus on inpainting of complex, irregular and large missing regions covering prominent geometric features by considering <i>n</i> self-similar examples. The effectiveness of the proposed framework is demonstrated on 3D artifacts obtained from archaeological sites.
In this paper we discuss the framework for a realistic walk-through of cultural heritage sites. The framework includes 3D data acquisition , different data processing steps, coarse to fine 3D reconstruction and rendering to generate realistic walkthrough. Digital preservation of cultural heritage sites is an important area of research since the(More)
As recently seen in Google's Gmail, the messages in inbox are classified into primary, social and promotions, which makes it easy for the users to differentiate the messages which they are looking for from the bulk of messages. Similarly, a users wall in facebook is usually flooded with huge amount of data which makes it annoying for the users to view the(More)
In this paper we address the problem of hole filling in a point cloud of 3D object. Even with most popular 3D scanning devices like Microsoft Kinect and Time of Flight (ToF) cameras, occlusions during the scanning process result in occurrence of missing regions or holes in 3D data. We propose a framework for hole filling in a point cloud of 3D object using(More)
In this paper we propose to address the problem of 3D object decomposition and super resolution. We model the 3D object as a set of Riemannian manifolds and propose metric tensor and Christoffel symbols as a novel set of features for 3D object decomposition using polynomial kernel SVM classifier. The super resolution of the 3D point clouds is carried out(More)