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This paper addresses the problem of recognizing free-form 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local information around points,… Expand
This paper describes an approach for recognizing instances of a 3D object in a single camera image and for determining their 3D poses. A hierarchical model is generated solely based on the geometry… Expand
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses.
This first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. The first part covers image acquisition, including… Expand
Abstract. Earth orientation parameters (EOPs) [polar motion and length of day (LOD), or UT1–UTC] were predicted by artificial neural networks. EOP series from various sources, e.g. the C04 series… Expand
We introduce the Densely Segmented Supermarket (D2S) dataset, a novel benchmark for instance-aware semantic segmentation in an industrial domain. It contains 21,000 high-resolution images with… Expand
This paper describes a method for recognizing and tracking 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of a 3D… Expand
This dissertation proposes a novel approach for the recognition of compound 2D objects in images under real-time conditions. A compound object consists of a number of rigid object parts that show… Expand
We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can determine the object… Expand
In autumn the degreening of leaves and the emergence of the fall colors are highly visible signs of leaf senescence, a form of programmed cell death in plants. In the early 1990s the disappearance… Expand