In this work, we introduce a score fusion scheme to improve the 3D object retrieval performance. The state of the art in 3D object retrieval shows that no single descriptor is capable of providing fine grain discrimination required by prospective 3D search engines. The proposed fusion algorithm linearly combines similarity information originating from multiple shape descriptors and learns their...

A sensitivity study involving a real-virtual object alignment task was performed in a stereoscopic augmented reality environment, in which the known conflict between binocular fusion and object interposition cues was expected to play a major role. The object was to evaluate subjects’ sensitivity to visual texture of a real hemisphere surface and to target position at designated probe points on ...

In this paper we present a paradigm for active sensor fusion and feature integration for the purposes of exploration of a static environment, and subsequent navigation therein. We describe the feature grid representation of the environment which is extensible to a wide range of sensor modalities, allows eecient access of information, and supports inter-agent cooperation. In particular, we have ...

Sensor fusion can be used to recover 3D pose and to analyze spatial configuration of object parts. The goal of this project is to develop a sensor fusion method using vision sensors (stereo cameras, color vision). This project addresses the visual tracking problem for a rigid-articulated object using a known geometrical and kinematical model. This model provides us with useful information about...

In the past decades, most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition, that is selectively moving a sensor/camera around a considered object in order to acquire as much information about it as possible. In this paper we present an active object recognition approach that solves the pro...

This paper presents a robust real-time object tracking system for human computer interaction in mediated environments with interfering visual projection in the background. Two major contributions are made in our research to achieve robust object tracking. A reliable outlier rejection algorithm is developed using the epipolar and homography constraints to remove false candidates caused by interf...

In this work, we propose a multi-camera object tracking method with surprisal observations based on the cubature information filter in visual sensor networks. In multi-camera object tracking approaches, multiple cameras observe an object and exchange the object’s local information with each other to compute the global state of the object. The information exchange among the cameras suffers from ...

Despite their predominant application in robotics, the utility of methods for information fusion is not limited to sensor-based fusion tasks. The paper presents an information retrieval (IR) system for multimedia weather documents which makes use of linguistic fusion methods and a semantically rich retrieval model based on methods from fuzzy set theory. The computational problem of how to effic...

Spectral similarity and spatial adjacency between various kinds of objects, shadow and occluded areas behind high rise objects as well as complex relationships lead to object recognition difficulties and ambiguities in complex urban areas. Using new multiangular satellite imagery, higher levels of analysis and developing a context aware system may improve object recognition results in these sit...

In a dynamic situation like robot soccer any individual player can only observe a limited portion of their environment at any given time. As such to develop strategies based upon planning and cooperation between different players it is imperative that they be able to share information which may or may not be in any individual player’s field of vision. In this paper we propose a method for multi...