Abstract. This paper introduces a novel 3-D geometry enhanced superpixels for RGB-D data. First, we reconstruct the 3-D geometry of the scene by projecting the depth map into 3-D coordinates. Then, a distance metric for superpixel clustering is constructed using 3-D geometry and color information. Finally, pixels are iteratively clustered into superpixels using the proposed distance metric. The...

We propose an approach for view-invariant object detection directly in 3D with following properties: (i) The detection is based on matching of 3D contours to 3D object models. (ii) The matching is constrained with qualitative spatial relations such as above/below, left/right, and front/back. (iii) In order to ensure that any matching solution satisfies these constraints, we formulate the matchi...

Consumer RGB-D cameras have become very useful in the last years, but their field of view is too narrow for certain applications. We propose a new hybrid camera system composed by a conventional RGB-D and a fisheye camera to extend the field of view over 180 degrees. With this system we have a region of the hemispherical image with depth certainty, and color data in the periphery that is used t...

In recent years, the problem of acquiring omnidirectional stereoscopic imagery of dynamic scenes has gained commercial interest, and consequently, new techniques have been proposed to address this problem. The goal of many of these new panoramic methods is to provide practical solutions for acquiring real-time omnidirectional stereoscopic imagery for human viewing. However, there are problems r...

We propose a method for the extraction of complete and rich symbolic line segments in 3D based on RGB-D data. Edges are detected by combining cues from the RGB image and the aligned depth map. 3D line segments are then reconstructed by back-projecting 2D line segments and intersecting this with local surface patches computed from the 3D point cloud. Different edge types are classified using the...

Falls are a great risk for elderly people living alone. Falls can result in serious injuries and in some cases even deaths. It is important to recognize them early and provide assistance. In this paper we present a novel computer vision based fall recognition system which combines depth map with normal color information. With this combination it is possible to achieve better results as depth ma...

We present a new image-based stereoscopic painterly algorithm that we use to automatically generate stereoscopic paintings. Our work is motivated by contemporary painters who have explored the aesthetic implications of painting stereo pairs of canvases. We base our method on two real images, acquired from spatially displaced cameras. We derive a depth map by utilizing computer vision depth-from...

In this paper we present an algorithm for automatic extraction and tracking of multiple objects from a video sequence. Our approach is model-based in the sense that we first use a robust structure-from-motion algorithm to identify multiple objects and to recover initial 3-D shape models. Then, these models are used to identify and track the objects over multiple frames of the video sequence. Th...

This research presents the geotechnical zoning map of district 1 in Shiraz municipality with focus on municipal deep excavation hazard assessment on data from 160 boreholes. For this purpose, the mechanical properties are determined according to the results of direct shear, uniaxial, and SPT tests and then excavation hazard assessment with depths of 3, 6 and 9 m, in situations where the excavat...