We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method preserves discontinuities in the depth map. We demonstrate that the integration of multiple images substantially increases the robustness of estimated depth maps to noise in the input images. The integration of our meth...

This article explores the relationship between dense molecular cores and young, pre-main sequence stars within the active star-forming giant molecular cloud ρ Ophiuchus. Our analyses synthesize multiwavelength data, including dust extinction maps, dust emission at 1.2mm, mid-infrared images, and molecular line emission from several species. Following the investigation of various dense core iden...

. Paraphrasing Olivier Faugeras in the foreword of [1], making a robot see is still an unsolved and challenging task after several decades of research. The traditional research has been based on the geometric models of multiple views of a scene, estimating a sparse 3D map of the scene and the camera pose. Recent advances have led to fully dense and real-time 3D reconstructions. Also, there are ...

This paper focuses on the representation and view generation of three-dimensional (3-D) scenes. In contrast to existing methods that construct a full 3-D model or those that exploit geometric invariants, our representation consists of dense depth maps at several preselected viewpoints from an image sequence. Furthermore, instead of using multiple calibrated stationary cameras or range scanners,...

In this paper we report on progress using ambient noise correlation with a dense 3D survey conducted in Long Beach, California, to estimate subsurface velocity. We show that both Rayleigh wave and body wave signals can be clearly observed between 0.2-10 Hz frequency range in the noise cross-correlations. The observed signals also compare well with an active source gather. We apply eikonal tomog...

sustainable management of limited land and water resources is urgently needed to meet the increasing demand for food and to protect the environment. land suitability analysis is a prerequisite in assessing and proposing sustainable land use alternatives for an area. soil data are usually available at different levels of detail and stored in various forms, usually soil maps and/or soil observati...