The quality of life of many people could be improved by autonomous assistant robots in the home. To function in the human world, an assistant robot must be able to locate itself and perceive the environment like a human; scene perception, object detection and segmentation, and object spatial localization in 3D are fundamental capabilities for such robots. This paper presents a 3D multi-class ob...

In order to solve the problem of target ID switching caused by occlusion and insufficient information location extraction in JDE(joint detection embedding) algorithm, an improved multi-target tracking algorithm based on JDE is proposed this paper. Firstly, SPA feature space pyramid attention module used expand receptive field obtain more abundant semantic improve accuracy model for different sc...

By using affine-invariant shape descriptors, it is possible to recognize an unknown planar object from an image taken from an arbitrary view when standard view images of candidate objects exist in a database. In a previous study, an affine-invariant function calculated from the wavelet coefficients of the object boundary has been proposed. In this work, the invariant is constructed from the mul...

Successful modelling and design of industrial products require excellent communication within a multifunctional team, working in a concurrent engineering environment. Lack of a common vocabulary expressing design decisions leads to bad comprehension and insight. Through the use of patterns we are able to describe design decisions consisting of composition of objects and provide an extension of ...

Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a. “multi-view learning”. In these methods, usually the classifiers iteratively label each other a subset of the unlabeled data and ignore the rest. In this work, we propose a new multi-view boosting algorithm that, unl...