Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery
نویسندگان
چکیده
منابع مشابه
Model-Instance Object Mapping
Robot localization and mapping algorithms commonly represent the world as a static map. In reality, human environments consist of many movable objects like doors, chairs and tables. Recognizing that such environment often have a large number of instances of a small number of types of objects, we propose an alternative approach, Model-Instance Object Mapping that reasons about the models of obje...
متن کاملUnsupervised deep object discovery for instance recognition
Severe background clutter is challenging in many computer vision tasks, including large-scale image retrieval. Global descriptors, that are popular due to their memory and search efficiency, are especially prone to corruption by such a clutter. Eliminating the impact of the clutter on the image descriptor increases the chance of retrieving relevant images and prevents topic drift due to actuall...
متن کامل3D Object Classification Based on Volumetric Parts
This article proposes a 3D object classification approach based on volumetric parts, where Superquadricbased Geon (SBG) description is implemented for representing the volumetric constituents of 3D object. In the approach, 3D object classification is decomposed into the constrained search on interpretation tree and the similarity measure computation. First, a set of integrated features and corr...
متن کامل3d Volumetric Object Perception in Binocular Vision
3D object perception is one of the important issues in the study of human visual functions. It is a seemingly effortless process that requires no conscious thought for the human beings, but a difficult computational problem for machines. The object perception with binocular viewing utilizes the disparities between the two eyes to recover the 3D information of an object, and takes the advantages...
متن کاملA Semantic Web Based Ontology Mapping and Instance Transformation Framework
We present a semantic-based ontology mapping framework that offers instance transformation and discovery of new mapping using reasoning. Our framework comprises an expressive OWL-Full Mapping Representation Ontology (MRO) and a mapping translation method. Ontology mappings are represented in terms of an instantiation of the MRO. We define formal semantics for our ontology mapping representation...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Robotics and Automation Letters
سال: 2019
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2019.2923960