Visualizing Multisensor Model-Based Object Recognition
نویسندگان
چکیده
A di cult problem when designing automatic object recognition algorithms is the visualiza tion of relationships between sensor data and the internal models used by the recognition al gorithms In our particular case we need to coregister color thermal infrared and range imagery to D object models in an e ort to determine object positions and orientations in three space In this paper we describe a system for interac tive visualization of the various spatial relation ships between the heterogeneous data sources This system is designed to be closely linked to the object recognition software such that it al lows detailed monitoring of each step in the recognition process We employ several novel techniques for visualizing the output from an imaging range device Our system also incorpo rates sensor models which can simulate sensor data for visible features of stored object models and display these features in the proper position relative to the appropriate sensor
منابع مشابه
Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملUrban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملModel Theory Based Fusion Framework with Application to Multisensor Target Recognition
In this work, we present a model theory based fusion methodology for multisensor wavelet-features based recognition called Automatic Multisensor Feature-based Recognition System (AMFRS). The goal of this system is to increase accuracy of the commonly used wavelet-based recognition techniques by incorporating symbolic knowledge (symbolic features) about the domain and by utilizing a model theory...
متن کاملThree-dimensional visualization environment for multisensor data analysis, interpretation, and model-based object recognition
Model-based object recognition must solve three-dimensional geometric problems involving the registration of multiple sensors and the spatial relationship of a three-dimensional model to the sensors. Observation and verification of the registration and recognition processes requires display of these geometric relationships. We have developed a prototype software system which allows a user to in...
متن کامل