Multi-focus Image Fusion for Visual Sensor Networks

On10多传感器图像分割融合方法

The Segmentation Fusion Method On10 Multi-Sensors

最显著的问题可能是融合图像的光谱特征的不期望的影响，以及使用融合图像的益处主要是与由一个传感器同时获取的它们的源图像相比。它们可能适合或可能不适合于其他图像的融合。因此，它变得越来越重要的调查技术，使多传感器，多数据图像融合，以作出最后的结论，可以得出最合适的融合方法。因此，在这项研究中，我们提出了一种新的方法分割融合方法（SF）的遥感图像提出了考虑传感器的物理特性，它使用一个特征级的处理范例。在一个特别的是，试图测试所提出的方法的性能上10多传感器图像和比较它与不同的融合技术，通过使用各种空间和光谱度量定量估计的质量和程度的信息改善。

Sparse Representation based Multi-sensor Image Fusion: A Review

As a result of several successful applications in computer vision and image processing, sparse representation (SR) has attracted significant attention in multi-sensor image fusion. Unlike the traditional multiscale transforms (MSTs) that presume the basis functions, SR learns an over-complete dictionary from a set of training images for image fusion, and it achieves more stable and meaningful representations of the source images. By doing so, the SR-based fusion methods generally outperform the traditional MST-based image fusion methods in both subjective and objective tests. In addition, they…

通过动态照明与图像融合增强基于视觉的触觉传感器

Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion

本研究提出结合动态照明图案与图像融合技术，通过捕获并融合多组不同照明下的测量值，显著提升了基于视觉的触觉传感器的图像对比度、清晰度等感知质量，且可通过软件更新改进现有传感器。

Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence

Tracking people in a video sequence is one of the fields of interest in computer vision. It has broad applications in motion capture and surveillance. However, due to the complexity of human dynamic structure, detecting and tracking are not straightforward. Consequently, different detection and tracking techniques with different applications and performance have been developed. To minimize the noise between the prediction and measurement during tracking, Kalman filter has been used as a filtering technique. At the same time, in most cases, detection and tracking results from a single sensor is…

Learned Semantic Multi-Sensor Depth Map Fusion

Volumetric depth map fusion based on truncated signed distance functions has become a standard method and is used in many 3D reconstruction pipelines. In this paper, we are generalizing this classic method in multiple ways: 1) Semantics: Semantic information enriches the scene representation and is incorporated into the fusion process. 2) Multi-Sensor: Depth information can originate from different sensors or algorithms with very different noise and outlier statistics which are considered during data fusion. 3) Scene denoising and completion: Sensors can fail to recover depth for certain mater…

Sensor fusion using EMG and vision for hand gesture classification in mobile applications

The discrimination of human gestures using wearable solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabilitation. This paper presents a mobile electromyography (EMG) analysis framework to be an auxiliary component in physiotherapy sessions or as a feedback for neuroprosthesis calibration. We implemented a framework that allows the integration of multisensors, EMG and visual information, to perform sensor fusion and to improve the accuracy of hand gesture recognition tasks. In particular, we used an event-based camera adapted …