We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...
Ensuring the semantic and topological correctness of spatial data is an important requirement in geographical information systems and spatial database systems in order to preserve ...
Mark McKenney, Alejandro Pauly, Reasey Praing, Mar...
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
It is often difficult in computer graphics applications to understand spatial relationships betweenobjects in a 3D sceneor effect changes to those objects without specialized visu...
Kenneth P. Herndon, Robert C. Zeleznik, Daniel C. ...