Autonomous agents that need to effectively move and in- teract in a realistic environment have to be endowed with robust perception skills.

This paper presents an active vision approach that improves the accuracy of 3D object classification through a next-best-view (NBV) paradigm to perform this ...

Autonomous agents that need to effectively move and in- teract in a realistic environment have to be endowed with robust perception skills.

Request PDF | On Oct 1, 2019, Yiming Wang and others published Active 3D Classification of Multiple Objects in Cluttered Scenes | Find, read and cite all ...

Indoor object detection and classification from scanned point clouds has recently attracted considerable research interest. However,.

Selective visual attention enables learning and recognition of multiple objects in cluttered scenes ... classification and the localization of 3-D objects ...

This project mainly addresses such performance degradation with an active vision approach that improves the accuracy of 3D object classification.

A common approach to recognition of objects in cluttered scenes is to generate hypotheses about objects present in the scene by matching local descriptors ...

Feb 16, 2024 · In the multi-model registration problem, we are given two point clouds picturing a set of objects at different poses (and possibly including points belonging ...

Jan 29, 2021 · The presented method makes use of synthetic objects for training the object classifier, and classify real objects captured by the depth camera.