It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
We present a method for real-time 3D object detection
that does not require a time consuming training stage, and
can handle untextured objects. At its core, is a novel tem-
plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
This paper presents a novel surveillance video indexing and retrieval system based on object features similarity measurement. The system firstly extracts moving objects from the vi...
Jacky S-C. Yuk, Kwan-Yee Kenneth Wong, Ronald H. Y...
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...