We present a neural network based fusion approach for realtime robotic object recognition which integrates 2D and 3D descriptors in a flexible way. The presented recognition architecture is coupled to a real-time segmentation step based on 3D data, since a focus of our investigations is real-world operation on a mobile robot. As recognition must operate on imperfect segmentation results, we con...

In the past decades most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active approaches for object recognition. In this context there are several unique problems to be solved. One of them is how to fuse images from several viewpoints. In this paper we present a well-founded approach for the fusion of multiple v...

Abstract We show that if ${\mathcal C}$ is a fusion $2$ -category in which the endomorphism category of unit object or , then indecomposable objects form finite group.

Abstract In this study, aiming at the problem that surface defect image of printing roller has different sizes and a large number defects, salient object detection method based on stepwise multi-scale feature fusion is proposed, which consists guidance module, multi-resolution information deeply supervised side output. Specifically, module contains two paths, top-down bottom-up, strengthen tran...

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Phase-contrast imaging is a novel modality in the field of medical X-ray imaging. The pioneer method is the grating-based interferometry which has no special requirements to the X-ray source and object size. Furthermore, it provides three different types of information of an investigated object simultaneously – absorption, differential phase-contrast and dark-field images. Differential phase-co...

Real-time perception based on the simultaneous localization and mapping (SLAM) technology is of immense application potential in industry filed. In this work, we provide an extended Kalman filter (EKF) visual SLAM framework named Fusion VIO, which contains HDR imaging system, hardware synchronization, object detection, sensor fusion, semantic fusion. Notably, VIO well fuses loop closure informa...