We present Jump, a practical system for capturing high resolution, omnidirectional stereo (ODS) video suitable wide scale consumption in currently available virtual reality (VR) headsets. Our consists of camera built using off-the-shelf components and fully automatic stitching pipeline capable content the ODS format. have discovered analyzed distortions inherent to when used VR display as well those introduced by our capture method show that they are small enough make this approach variety...

We present an algorithm and the associated capture methodology to acquire track detailed 3D shape, bends, wrinkles of deforming surfaces. Moving data has been difficult obtain by methods that rely on known surface features, structured light, or silhouettes. Multispec- tral photometric stereo is attractive alternative because it can recover a dense normal field from un-textured surface. show how such register over time generate single Experiments were performed video sequences un- textured...

Given a stereo pair it is possible to recover depth map and use that render synthetically defocused image. Though algorithms are well-studied, rarely those considered solely in the context of producing these renderings. In this paper we present technique for efficiently disparity maps using novel optimization framework which inference performed "bilateral-space". Our approach produces higher-quality "defocus" results than other while also being 10 - 100× faster comparable techniques.

We present a new approach to camera calibration as part of complete and practical system recover digital copies sculpture from uncalibrated image sequences taken under turntable motion. In this paper, we introduce the concept silhouette coherence set silhouettes generated by 3D object. show how maximization can be exploited poses focal length. Silhouette considered generalization well-known epipolar tangency constraint for calculating motion or outlines alone. Further, exploits all geometric...

This paper leverages occluding contours (aka "internal silhouettes") to improve the performance of multi-view stereo methods. The contributions are 1) a new technique identify free-space regions arising from contours, and 2) approach for incorporating resulting constraints into Poisson surface reconstruction. proposed outperforms state art MVS techniques challenging Internet datasets, yielding dramatic quality improvements both around object in detail.

The Cauchy problem for the Laplace equation in an annular bounded region consists of finding a harmonic function from Dirichlet and Neumann data known on exterior boundary. This work considers fractional boundary condition instead circular region. We found solution to using harmonics. Then, Tikhonov regularization is used handle numerical instability problem. parameter was chosen L-curve method. From tests, we that series expansion can be truncated N=20, N=25, or N=30. Thus, stable method...

We present an algorithm and the associated single-view capture methodology to acquire detailed 3D shape, bends, wrinkles of deforming surfaces. Moving data has been difficult obtain by methods that rely on known surface features, structured light, or silhouettes. Multispectral photometric stereo is attractive alternative because it can recover a dense normal field from untextured surface. show how such data, which in turn allows us demonstrate strengths limitations our simple frame-to-frame...

This paper addresses the problem of obtaining complete, detailed reconstructions shiny textureless objects. We present an algorithm which uses silhouettes object, as well images obtained under varying illumination conditions. In contrast with previous photometric stereo techniques, ours is not limited to a single viewpoint and produces accurate in full 3D. A number object are from multiple viewpoints, lighting Starting silhouettes, recovers camera motion constructs object's visual hull. then...

Light occlusions are one of the most significant difficulties photometric stereo methods. When three or more images available without occlusion, local surface orientation is overdetermined so that shape can be computed and shadowed pixels discarded. In this paper, we look at challenging case when only two leading to a degree freedom ambiguity per pixel in orientation. We show that, presence noise, integrability alone cannot resolve reconstruct geometry regions. As problem ill-posed describe...

This paper describes an effort to automatically create ``tours'' of thousands the world's landmarks from geo-tagged user-contributed photos on Internet. These photo tours take you through each site's most popular viewpoints a tour that maximizes visual quality and traversal efficiency. planning problem is framed as form Traveling Salesman Problem graph with nodes transition costs edges pairs edges, permitting efficient solution even for large graphs containing photos. Our approach highly...

Systematic evaluation of construction equipment activities is essential to efficient management the fleet. Recent research has made significant progress in developing machine learning activity recognition frameworks. Deep particular can circumvent need for complex manually-designed feature extraction/selection procedures that contribute lower accuracies traditional and shallow models. The presented this paper develops compares deep algorithms different levels detail. Data are collected a...

In recent years, the frequent appearance of obstacles on roads has been increasing. Opportune obstacle detection is crucial in driver-assistance systems to prevent traffic incidents. Artificial vision used design advanced systems. Driver-assistance allows avoiding coll isions or (mortal) accidents by offering technologies that alert driver about potential problems. an open problem a dynamic environment; therefore, it necessary identify static objects and moving objects, known as obstacles,...