基于立体空间的定位系统在安全生产领域的应用

为提升安全生产管理水平,文中研究了基于立体空间的定位系统的技术原理及其应用。通过应用空间感知技术、数据处理与融合方法,以及定位算法,该系统能提供高精度的三维定位服务。在工业生产环境中,系统可用于实时监控人员位置和物品追踪,保障操作安全。此外,系统可对环境中的有害气体、温度和湿度进行监测与预警,防范环境风险。在应急响应方面,系统能快速定位事故现场,并提供人员疏散和救援路径规划。研究表明,立体空间定位系统在提高安全生产管理水平方面具有显著效果。     

一种新的体视对应方法

选择特征点作为匹配特征,采用视差估计方法,在满足一定匹配准则情况下,可以得到一约束最小化能量函数。模拟实验结果表明,使用模拟退火算法,可使能量函数达到全局最小,从而实现立体匹配。     

立体光造形技术的精度论述

论述立体光造形技术中零件的精度问题，从ＣＡＤ模型精度，切片过程中的切片精度，激光固化光敏树脂过程的制造精度，以及后固化过程中零件的尺寸精度等各个主要方面进行了深入的探讨。     

快速原型制造技术及在塑料行业中的应用

本文概要地介绍了快速原型制造技术与常用方法。重点介绍了激光造型的原理、应用软件的构成、设备的配置及适用材料。并介绍了快速原型制造技术在塑料行业中的应用前景及应用实例。     

Medical augment reality using a markerless registration framework

This study proposes a cranial augmented-reality (AR) system which characterizes on performing image-to-patient registration using only natural facial features. Its hardware includes only three calibrated CCD cameras but any commercial spatial digitizing devices or artificial skin markers. Two of the cameras are mounted together to form a stereo-vision system, while the third camera moves freely and captures real-time images for AR-fusion display. The facial surface of a patient is first reconstructed by stereo vision. Meanwhile, another facial surface is reconstructed from preoperative computed tomography (CT) images of the patient. A iterative closest point (ICP)-based algorithm is then used to register the two facial data sets, which transfers the anatomical information from the CT images to the physical space. Since the natural of stereo-vision reconstruction usually accompanies with noisy data, the conventional ICP also suffers from its inherent local-minimum problem. Therefore, we propose an improved ICP which embeds a weighting and perturbing strategy to increase robustness and the ability of noise resistance. As a result, with a seamless integration among the preoperative CT images, the patient, the stereo-vision cameras, and the movable camera, an immersive medical AR environment based on a markerless image-to-patient registration is thus accomplished.     

人脸立体模式识别

简单回顾了人脸识别技术,在分析立体视觉理论的基础上,描述了三维人脸图像模式构建机理和信号小波滤波思想,介绍了贝叶斯统计识别理论的工作原理,将其应用于立体人脸识别。给出了基于DSP的三维人脸识别系统设计思想。     

Real-time people localization and tracking through fixed stereo vision

Detecting, locating, and tracking people in a dynamic environment is important in many applications, ranging from security and environmental surveillance to assistance to people in domestic environments, to the analysis of human activities. To this end, several methods for tracking people have been developed in the field of Computer Vision using different settings, such as monocular cameras, stereo sensors, multiple cameras. In this article we describe a method for People Localization and Tracking (PLT) based on a calibrated fixed stereo vision sensor, its implementation and experimental results. The system analyzes three components of the stereo data (the left intensity image, the disparity image, and the 3-D world locations of measured points) to dynamically update a model of the background; extract foreground objects, such as people and rearranged furniture; track their positions in the world. The system is mostly suitable for indoor medium size environments. It can reliably detect and track people moving in an medium size area (a room or a corridor) in front of the sensor with high reliability and good precision.