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We present a learning framework for abstracting complex shapes by learning to assemble objects using 3D volumetric primitives. In addition to generating simple and geometrically interpretable explanations of 3D objects, our framework also allows us to automatically discover and exploit consistent structure in the data. We demonstrate that using our method allows predicting shape representations which...
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...
While data has certainly taken the center stage in computer vision in recent years, it can still be difficult to obtain in certain scenarios. In particular, acquiring ground truth 3D shapes of objects pictured in 2D images remains a challenging feat and this has hampered progress in recognition-based object reconstruction from a single image. Here we propose to bypass previous solutions such as 3D...
We introduce a new mono-camera system with multi-infrared lights for human posture recognition, which is based on the 3D body shape recovered from the body silhouette and cast shadows. We propose a new voxelization method inspired from the Shape From Silhouettes (SFS) approach for Visual Hull (VH) reconstruction. Our setup consists of 4 infrared lights installed in the different upper corners of a...
We present utilization of the visual hull geometrical method for reconstruction of 3D shapes of snowflakes and ice particles based on high-resolution photographs of an object from multiple angles and the corresponding 2D silhouettes, for the purpose of further scattering analysis. The images are obtained by a multi-angle snowflake camera (MASC). Preliminary results appear to be much more accurate...
We consider the problem of building high-quality 3D object models from commodity RGB and depth sensors. Applications of such a database include instance and object recognition, robot grasping, virtual reality, graphics, and online shopping. Unfortunately, modern reconstruction approaches have difficulties in reconstructing objects with major transparencies (e.g., KinectFusion [22]) and/or concavities...
Utilizing priors about the shape of retinal surface is important for accurate reconstruction. We present a detailed analysis of geometrical shape priors in the 3D reconstruction of retina. We first approximate the retinal surface either as a sphere inspired by the actual shape of the eyeball, or as a plane inspired by the 2D mosaicing approaches. Based on this approximation, we perform an initial...
We study the problem of how to build a deep learning representation for 3D shape. Deep learning has shown to be very effective in variety of visual applications, such as image classification and object detection. However, it has not been successfully applied to 3D shape recognition. This is because 3D shape has complex structure in 3D space and there are limited number of 3D shapes for feature learning...
In this paper, we propose a new 3D reconstruction method using mainly the shadow and silhouette information of a moving object or person. This method is derived from the well-known Shape From Silhouettes (SFS) approach. A light source can be seen as a camera, which generates an image as a silhouette shadow. Based on this, we propose to replace a multicamera system of SFS by multi-infrared light sources...
Museums are interested in the digitizing of their collections not only for the sake of preserving the cultural heritage, but also to make the information content accessible to the wider public in a manner that is attractive. Computer vision techniques are widely used to create virtual museum exhibitions both in a museum environment through informative kiosks or on the World Wide Web. Such 3D exhibition...
The study of social animal interactions is used as means for understanding animal behavior and biology. In this work, we describe a computerized method that utilizes 3D visual hull reconstruction to identify and localize rhesus macaques in their social groups. There are three major steps in this study. First, we collect experimental data from four synchronized cameras at different locations and angels...
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