If we don't want to wait in line before the checkout counters, we can use Toshiba's new object recognition scanner.
如果我们不想在收银台前排队，我们可以使用东芝新的物体识别扫描仪。
This allows for more flexibility in object recognition.
这允许对象识别中的更多灵活性。
The ObjectFactory class addresses this issue with dynamic object recognition methods.
ObjectFactory 类用动态对象识别方法解决了这个问题。
Script recording will be generic, in that object recognition will be as ATL or HTML objects, not as Siebel objects.
脚本记录将会产生，这样的话对象将作为ATL或者HTML对象被识别，而不是Siebel 对象。
Often, we find that each new build of our application under test changes our object recognition properties enough that our automation breaks.
我们常常发现，在测试中，每次构建新的应用程序，对象识别属性的更改都很大，以致于破坏了自动化。
The recognition of airplane is one of the applications of object recognition.
飞机机型的识别属于目标识别的一个具体应用。
A 2d object recognition algorithm based on geometry invariant and BP Network.
提出了一种基于几何不变性和BP网络的二维目标识别算法。
In the system of IR object recognition, it is needed to collect IR image data in realtime.
红外目标识别系统中，需要实时采集红外传感器的图像数据。
The viewpoint has been the focus of the debates in many recent object recognition studies.
视点问题是物体识别研究中的热点问题。
Graph matching RRWM method. Graph matching can be used for object recognition, pattern recognition.
说明：图匹配的RRWM方法。图匹配可用于目标识别，模式识别。
The precise edge detection in range image was the base of 3-D object recognition and localization.
深度图像边缘提取是物体识别和定位的基础。
A new affine invariants based on affine geometry for object recognition and matching is proposed in the paper.
提出一种新的基于仿射几何的仿射不变特征提取方法，适合于目标的识别和图像的匹配。
Vision is the best perception system of human. Vision invariants for planar object recognition catch our attention.
视觉是人类最完善的感知系统，基于视觉不变量的平面目标识别方法近年来得到广泛的关注。
A realtime dynamic object recognition and localization method is presented for mobile robot using binocular vision.
提出了一种双目移动机器人实时动态目标识别与定位方法。
Experimental results show that the approach presented has ideal precision and speediness for color object recognition.
实验结果表明该方法具有较理想的彩色目标识别精度和实时性。
The system has significant practice value of the object recognition, atmosphere supervising and laser cooling of atoms etc.
该系统在目标识别、大气环境监测、激光冷却原子等应用中具有重要的价值。
Based on the Discrete Fractal Brownian Random Field (DFBR) an algorithm of multiresolution object recognition is presented.
在离散分形布朗随机场(DFBR)理论的基础上，提出一种多分辨率目标识别算法。
The matching computation for 3D shape of superquadric models is one key problem in 3D object recognition with superquadrics.
超二次模型形状匹配计算是应用超二次模型进行三维物体识别的一个关键问题。
In this paper a method of the three-dimensional object recognition with rotation-invariant based on moire fringe is proposed.
本文提出一种基于莫尔条纹的三维物体旋转不变识别方法。
Technest\'s 3D sensing algorithm fuses data from multiple sensors to achieve high-resolution rapid 3D mapping and reliable object recognition.
该公司的3D算法能够从多个传感器融合数据，实现高清快速3D制图和可靠的目标识别。
An object recognition and localization algorithm based on local feature-turning Angle between neighbouring tangent vectors, is presented.
提出了基于切矢转角局部特征的目标识别与定位算法。
Its mainly research topics include moving object detection, moving object recognition and tracking, abnormal behavior detection and alarm.
主要研究内容包括运动物体的检测、运动物体的识别和跟踪、异常现象的检测和报警等。
Technest's 3d sensing algorithm fuses data from multiple sensors to achieve high-resolution rapid 3d mapping and reliable object recognition.
该公司的3d算法能够从多个传感器融合数据，实现高清快速3d制图和可靠的目标识别。
The neural net is suited for computing two dimensional image moments in real time and it is further applicable to image or object recognition.
该网络适合于实时计算二维图象矩，可进一步用于图象或目标识别。
Provides a comprehensive introduction to key issues and findings in object recognition in experimental, neural, computational, and applied domains.
对于物体辨识在实验、神经学、计算、与应用等领域的关键议题与发现，提供全面性的介绍。
Technique of three-dimensional object recognition is one of the most important techniques in video tracking system and also a difficult problem in it.
三维目标识别技术是电视跟踪系统中的关键技术之一，也是目前该领域亟待解决的一个难题。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
Feature point matching is a key problem of computer vision and is frequently used in object recognition, image retrieval and 3d reconstruction and so on.
图像序列中的特征点匹配是计算机视觉中的一个基本问题，也是目标识别、图像检索以及3维重建等问题的基础。
We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition.
课堂中也将会以物体辨识的神经生物学为重点，简略地讨论脑如何从经验中学习的学习理论。
We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition.
课堂中也将会以物体辨识的神经生物学为重点，简略地讨论脑如何从经验中学习的学习理论。
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