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In this paper, we proposed a new 3D face reconstruction approach to reconstruct the 3D face from a single 2D image with arbitrary pose. The proposed approach enhanced the 3D morphable model by introducing a new local face shape constraint in another space. Then, the face can be constrained in double spaces: the global face shape space and the local face structure space. The advantages of the proposed...
Given multi-view correspondences, it has been shown that 3D non-rigid structure can be recovered through factorization based techniques. However, establishing reliable correspondences across multi-view images of non-rigid structure is not an easy task. Existing methods solve multi-view correspondences and 3D non-rigid structure in sequel, which cannot exploit the crossover constraints in each sub-problem...
We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to tackle it using CNNs. Utilizing a parametric body model, we train CNNs to learn a global mapping from the input to shape parameters used to reconstruct the shapes of people, in neutral poses, with the application of garment fitting in mind. This results in an accurate,...
Inferring the motion and shape of non-rigid objects from images has been widely explored by Non-Rigid Structure from Motion (NRSfM) algorithms. Despite their promising results, they often utilize additional constraints about the camera motion (e.g. temporal order) and the deformation of the object of interest, which are not always provided in real-world scenarios. This makes the application of NRSfM...
We present a single-shot system to recover surface geometry of objects with spatially-varying albedos, from images captured under a calibrated RGB photometric stereo setup—with three light directions multiplexed across different color channels in the observed RGB image. Since the problem is ill-posed point-wise, we assume that the albedo map can be modeled as piece-wise constant with a restricted...
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face from a single image. Recent face recovery methods rely on accurate localization of key characteristic points. In contrast, the proposed approach is based on a Convolutional-Neural-Network...
We present a system which is able to reconstruct human faces on mobile devices with only on-device processing using the sensors which are typically built into a current commodity smart phone. Such technology can for example be used for facial authentication purposes or as a fast preview for further post-processing. Our method uses recently proposed techniques which compute depth maps by passive multi-view...
We propose a new model-based method to accurately reconstruct human performances captured outdoors in a multi-camera setup. Starting from a template of the actor model, we introduce a new unified implicit representation for both, articulated skeleton tracking and non-rigid surface shape refinement. Our method fits the template to unsegmented video frames in two stages – first, the coarse skeletal...
The human cochlea is responsible for transducing mechanical stimuli to electrical signals. However, there are aspects of cochlear physiology that are not clearly understood and computational modeling has been recently used for this purpose. The computational approaches are usually based on artificial cochlea geometries, which present the cochlea as a box model. In this work, we present a system for...
Reconstructing shape from silhouettes is an interesting topic in computer vision. In the case of projective (pinhole) cameras, this task has been solved with several variations. The increasing use of omnidirectional cameras, due to their apparent advantage of covering 180 degrees field of view, necessitates the application of shape from silhouette in cases of mixed type cameras, a subject not very...
Surface reconstruction from point set in 2-dimensional space reconstructs a polygon that best captures the geometric shape of the point set. Input point set can be divided into two types based on the type of sampling used. They are boundary sample and dot pattern. All the existing algorithms in the field of surface reconstruction from point set deals only with one kind of input point set, i.e either...
The sesamoid bones of feet are quite small but they play very important roles in regulating pressure. In this study, 9 male wrestlers from Guangdong Greco-Roman wrestling team served as the subjects. CT scanning image of feet and data have been used to reconstruct the three-dimensional structures of feet, based on which the investigation and measurements of the sesamoid bones and supernumerary bones...
Recently, the synthesis of 3D dynamic expressions has become an important concern in computer graphics, facial recognition, etc. In this study, we propose a regression based joint subspace learning method for the automatic synthesis of 3D dynamic expression images. This method synthesizes 3D dynamic expression images from a single 2D facial image. We use two subspaces (the view subspace and the frame...
Interactive 3D object segmentation is an important and challenging activity in medical imaging, although it is tedious and error-prone to be done. Automatic segmentation methods aim to replace the user altogether, but require user interaction to produce training data sets of segmented masks and to make error corrections. We propose a complete framework for interactive medical image segmentation, which...
Specularities, which are often visible in images, may be problematic in computer vision since they depend on parameters which are difficult to estimate in practice. We present an empirical model called JOLIMAS: JOint LIght-MAterial Specularity, which allows specularity prediction. JOLIMAS is reconstructed from images of specular reflections observed on a planar surface and implicitly includes light...
In this paper, we try to develop a general framework of 3D shape reconstruction strategy with extremely rare point cloud extracted for fish ethology research. Particle filter is first taken to focus on fish trajectory tracking from monocular video sequence. The Speeded Up Robust Features (SURF) technique will be adopted to match the same tracking fish across the overlapping view fields with more stable...
Shape-from-Template (SfT) uses an object's shape template and a deformation law to achieve single-image reconstruction. SfT is a fundamental tool to retexture or augment a deformable object in a monocular video. It has matured for isometric deformations, but the non-isometric case is yet largely open. This is because modeling is generally more complicated and the constraints certainly weaker. Existing...
This paper introduces a segmentation approach, where a discriminative dictionary with objects' shape information is learned, followed by a sparse representation based segmentation process. In contrast with state-of-the-art sparse representation classification methods using discriminative dictionary learning, the proposed method learns a discriminative dictionary containing both intensity and shape...
The advantage of skeleton-based 3D reconstruction is to completely generate a single 3D object from well chosen views. Having numerous views is necessary for a reliable reconstruction but projections of skeletons lead to different topologies. We reconstruct 3D objects with curved medial axis (whose topology is a tree) from the perspective skeletons on an arbitrary number of calibrated acquisitions...
A combined Migration-MUSIC approach is adopted to deal with the inverse problem of reconstructing the shape of strong scatterers composed of elementary shapes and embedded within an electrically large investigation domain from under-sampled backscattered field data. The scatterers are deployed over a metallic plane, which mimics the ground floor, as in SAR scenarios. In order to mitigate aliasing,...
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