Existing image fusion methods pay little research attention to human visual characteristics. However, characteristics play an important role in processing tasks. To solve this problem, we propose a cross-modal method that combines illuminance factors and mechanisms. Human are studied simulated task. Firstly, order reject high low-frequency mixing reduce the halo effect, perform multi-scale deco...

We review techniques for sensor fusion in robot navigation, emphasizing algorithms for self-location. These find use when the sensor suite of a mobile robot comprises several different sensors, some complementary and some redundant. Integrating the sensor readings, the robot seeks to accomplish tasks such as constructing a map of its environment, locating itself in that map, and recognizing obj...

Abstract— The map merging problem in a robotic network consists of the construction of a global map of the environment using the partial (local) maps individually acquired by the robots. We build on ideas from distributed sensor fusion to provide an algorithmic solution to the map merging problem that uses the local maps as sensor measurements. We use a distributed average consensus algorithm t...

Millimeter-wave radar and machine vision are both important means for intelligent vehicles to perceive the surrounding environment. Aiming at problem of multi-sensor fusion, this paper proposes object detection method millimeter-wave fusion. Radar camera complement each other, data fusion in network can effectively reduce rate missed under insufficient light conditions, improve accuracy remote ...

BACKGROUND Although trials of image fusion, such as positron emission computed tomography and multislice spiral computed tomography (MSCT), have already demonstrated clinical usefulness, fusion of the coronary artery image and functional image by MSCT alone has not been reported yet. Here, a new idea of data analysis is proposed in which both regional cardiac function and the responsible corona...

This paper deals with the extraction of the hedgerow and copse network from hyperspectral images acquired with the Compact Airborne Spectrographic Imager (CASI). The strategy of segmentation integrates several levels of data fusion allowing a decision to be taken concerning the membership of each pixel to the hedgerow and copse network from the large set of original data. The first level leads ...

Missing data is a common issue in remote sensing. Data reconstruction through multiple satellite sources has become one of the most powerful ways to solve this issue. Continuous monitoring suspended particulate matter (SPM) arid lakes vital for water quality solutions. Therefore, research aimed develop and evaluate performance two image strategies, spatio-temporal fusion reflectance inversion S...

The full automorphism group of $U_6(2)$ is a group of the form $U_6(2){:}S_3$. The group $U_6(2){:}S_3$ has a maximal subgroup $2^9{:}(L_3(4){:}S_3)$ of order 61931520. In the present paper, we determine the Fischer-Clifford matrices (which are not known yet) and hence compute the character table of the split extension $2^9{:}(L_3(4){:}S_3)$.

Estimating depth from a video sequence is still a challenging task in computer vision with numerous applications. Like other authors we utilize two major concepts developed in this field to achieve that task which are the hierarchical estimation of depth within an image pyramid as well as the fusion of depth maps from different views. We compare the application of various local matching methods...