In this paper we consider one issue of the problem of automatically con-structing geometric models of articulated objects from multiple range images. Automatic model construction has been investigated for rigid objects, but the techniques used do not extend easily to the articu-lated case. The problem arises because of the need to register surface measurements taken from dierent viewpoints into a common refer-ence frame. Registration algorithms generally assume that an object does not change shape from one view to the next, but when building a model of an articulated object, it is necessary for the modes of artic-ulation to be present in the example data. To avoid this problem we propose that raw surface data of articulated objects is rst s...
In this paper a new method of modeling 30-objects for the interpretation of range images is describe...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...
In this paper we consider one issue of the problem of automatically constructing geometric models of...
In this paper we present an algorithm for automatically building models of articulated objects from ...
Our vision is to enable efficient acquisition and synthesis of highly detailed 3D surface models tha...
We address the problem of unsupervised learning of complex articulated object models from 3D range d...
This paper describes a new approach to automatic modeling of 3-D free-form objects from multi-view r...
This paper aims at developing a model-based system for the object recognition of three-dimensional o...
We present a method for segmenting and estimating the shape of 3-d objects from range data. The tec...
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to p...
We present a method for segmenting and estimating the shape of 3-D objects from range data. The tech...
This work addresses the problem of using a range camera to automatically acquire accurate surface de...
This work addresses the problem of using a range camera to automatically acquire accurate surface de...
This paper presents a method for modeling the surface of an object from a sequence of range maps. Ou...
In this paper a new method of modeling 30-objects for the interpretation of range images is describe...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...
In this paper we consider one issue of the problem of automatically constructing geometric models of...
In this paper we present an algorithm for automatically building models of articulated objects from ...
Our vision is to enable efficient acquisition and synthesis of highly detailed 3D surface models tha...
We address the problem of unsupervised learning of complex articulated object models from 3D range d...
This paper describes a new approach to automatic modeling of 3-D free-form objects from multi-view r...
This paper aims at developing a model-based system for the object recognition of three-dimensional o...
We present a method for segmenting and estimating the shape of 3-d objects from range data. The tec...
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to p...
We present a method for segmenting and estimating the shape of 3-D objects from range data. The tech...
This work addresses the problem of using a range camera to automatically acquire accurate surface de...
This work addresses the problem of using a range camera to automatically acquire accurate surface de...
This paper presents a method for modeling the surface of an object from a sequence of range maps. Ou...
In this paper a new method of modeling 30-objects for the interpretation of range images is describe...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...
A new approach to object recognition for a robotics environment is presented. 2-D models enriched wi...