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Motion estimation in realistic outdoor settings is significantly challenged by cast shadows, reflections, glare, saturation, automatic gain control, etc. To allow robust optical flow estimation in these cases, it is important to choose appropriate data cost functions for matching. Recent years have seen a growing trend toward patch-based data costs, as they(More)
3D scene flow estimation aims to jointly recover dense geometry and 3D motion from stereoscopic image sequences, thus generalizes classical disparity and 2D optical flow estimation. To realize its conceptual benefits and overcome limitations of many existing methods, we propose to represent the dynamic scene as a collection of rigidly moving planes, into(More)
We present an approach to 3D scene flow estimation, which exploits that in realistic scenarios image motion is frequently dominated by observer motion and independent, but rigid object motion. We cast the dense estimation of both scene structure and 3D motion from sequences of two or more views as a single energy minimization problem. We show that agnostic(More)
We propose a method to recover dense 3D scene flow from stereo video. The method estimates the depth and 3D motion field of a dynamic scene from multiple consecutive frames in a sliding temporal window, such that the estimate is consistent across both viewpoints of all frames within the window. The observed scene is modeled as a collection of planar patches(More)
In an increasing number of applications triangle meshes represent a flexible and efficient alternative to traditional NURBS-based surface representations. Especially in engineering applications it is crucial to guarantee that a prescribed approximation tolerance to a given reference geometry is respected for any combination of geometric algorithms that are(More)
BACKGROUND The aryl hydrocarbon receptor repressor (AhRR) is known to repress aryl hydrocarbon receptor (AhR) signaling, but very little is known regarding the role of the AhRR in vivo. OBJECTIVE This study tested the role of AhRR in vivo in AhRR overexpressing mice on molecular and toxic end points mediated through a prototypical AhR ligand. METHODS We(More)
Fine particulate matter (PM 2.5) is majorly formed by precursor gases, such as sulfur dioxide (SO 2) and nitrogen oxides (NO x), which are emitted largely from intense industrial operations and transportation activities. PM 2.5 has been shown to affect respiratory health in humans. Evaluation of source regions and assessment of emission source contributions(More)
We propose an adaptive multi-resolution formulation of semantic 3D reconstruction. Given a set of images of a scene, semantic 3D reconstruction aims to densely reconstruct both the 3D shape of the scene and a segmentation into semantic object classes. Jointly reasoning about shape and class allows one to take into account class-specific shape priors (e.g.,(More)