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We propose a novel geometric framework for analyzing spontaneous facial expressions, with the specific goal of comparing, matching, and averaging the shapes of landmarks trajectories. Here we represent facial expressions by the motion of the landmarks across the time. The trajectories are represented by curves. We use elastic shape analysis of these curves to develop a Riemannian framework for analyzing...
This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector is to reinforce robustness against non-rigid 3D shapes. Furthermore, an optimized WKS-based method...
It has been shown that significant age difference between a probe and gallery face image can decrease the matching accuracy. If the face images can be normalized in age, there can be a huge impact on the face verification accuracy and thus many novel applications such as matching driver's license, passport and visa images with the real person's images can be effectively implemented. Face progression...
This paper addresses 3D shape recognition. Recent work typically represents a 3D shape as a set of binary variables corresponding to 3D voxels of a uniform 3D grid centered on the shape, and resorts to deep convolutional neural networks (CNNs) for modeling these binary variables. Robust learning of such CNNs is currently limited by the small datasets of 3D shapes available - an order of magnitude...
Sketch-based 3D model retrieval is to retrieve 3D models given a user's hand-drawn sketch. Due to the big semantic gap between rough sketch representation and accurate 3D model coordinates, sketch-based 3D model retrieval (SBR) is one of the most challenging research topics in the field of 3D model retrieval. To bridge the semantic gap, a novel semantic tree-based SBR algorithm is proposed in this...
Colour, texture, shape, and relative position descriptors are fundamental visual descriptors. In particular, a relative position descriptor is a quantitative representation of the relative position of two spatial objects, and a basis from which models of spatial relationships (like inside, above, around, near) can be derived. The affine properties of visual descriptors have been the subject of much...
3D sketch-based 3D model retrieval is to retrieve similar 3D models using users' hand-drawn 3D sketches as input. Compared with traditional 2D sketch-based retrieval, 3D sketch-based 3D model retrieval is a brand new and challenging research topic. In this paper, we employ advanced deep learning method and propose a novel 3D sketch based 3D model retrieval system. Our system has been comprehensively...
We propose a novel method for the recognition of objects that match a given 3D model in large-scale scene point clouds captured in indoor environments with a laser range finder. Since large-scale indoor point clouds are greatly damaged by noise such as clutter, occlusion, hole, and measurement errors, it is difficult to exactly identify local correspondences between points in a target model point...
Determining visual saliency is one of the fundamental problems in computer vision as the saliency not only identifies the most informative parts of a visual scene but may also reduce computational complexity by filtering out irrelevant segments of the scene. In this paper, we propose a novel saliency object detection method that combines a shape-preserving saliency prediction driven by a convolutional...
Cliques are frequently used to model communities: a community is a set of nodes where each pair is equally likely to be connected. But studying real-world communities reveals that they have more structure than that. In particular, the nodes can be ordered in such a way that (almost) all edges in the community lie below a hyperbola. In this paper we present three new models for communities that capture...
Realistic wrinkles are important for enhancing the realism of 3D facial expression. In this paper, we proposed a combined method to simulate realistic wrinkles generated in facial expressions. By taking physiological mechanism of facial wrinkles into account, we used the muscle model for facial animation to extract the wrinkle region, and then an improved wrinkle model was applied to generate wrinkles...
Multifingered robot hands have the ability to manipulate and grasp various objects, like a human hand. In previous studies, we have looked at paper folding operations (Origami) as an example of dexterous manipulation to be performed by dual robot hands. It is difficult for robot hands to manipulate a sheet of paper because of its deformation, and it is thus necessary to recognize its shape during...
A text-driven 3D pronunciation visualization instruction system is proposed for computer-assisted language learning. Based on a 3D articulatory mesh model including appearance and internal articulators, both finite element method and anatomical model are used to synthesize the articulatory animation of phonemes by fitting the mesh model to the detected articulatory shapes in X-ray images. Visual co-articulation...
With the improvement of people's living standards, there is no doubt that people are paying more and more attention to their health. However, shortage of medical resources is a critical global problem. As a result, an intelligent prognostics system has a great potential to play important roles in computer aided diagnosis. Numerous papers reported that tongue features have been closely related to a...
Retinal pathologies that are detected too late and/or left untreated can seriously damage eyesight. It is important to monitor the retina and react to any pathological changes. A fast, accurate, non-invasive, and even three-dimensional retina examination is the optical coherence tomography (OCT). In this paper we propose a new automated classification method for evaluation of vitreomacular interface...
Drosophila embryonic images provide valuable spatial and temporal information of gene expression. Extraction of the contour of a targeting embryo in an embryonic image is a fundamental step of a computational system for the study of gene-gene interaction on Drosophila. In this paper, we propose a shape model for contour extraction of Drosophila embryos. The shape model is built on connected components...
A facial expression model (FEM) is developed which can synthesize various face shapes and albedo textures. The face shape varies with individuals and expressions. FEM synthesizes these shape variations by using a bilinear face model built from the Face Warehouse Database. On the other hand, the generative albedo texture is directly extracted from a neutral face model — the Basel Face Model. In this...
Many algorithms in computer vision, e.g., for object localization, are supervised and need annotated training data. One approach for object localization is the Discriminative Generalized Hough Transform (DGHT). It achieves state-of-the-art performance in applications like iris and epiphysis localization, if the amount and quality of training data is sufficient. This motivates techniques for extending...
Statistical shape models have become a widely used tool in computer vision and medical image analysis where they are of considerable interest when studying shape variations in anatomical shapes. The objective of this article is to build a 3D statistical shape modeling for a given data; the implemented process goes through those basic steps, first collect the given data then apply the alignment algorithm...
A traveling wave rectilinear gait for elongated, continuous bodies is modeled as planar deviations along a baseline average body and with respect to an average body frame. This framework enables intuitive and convenient formulation of the gait as a cyclically-varying backbone curve as well as contact patterns and other elements of the model which are integral in computing external forcing. A rolling...
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