公开(公告)号：US20110194779A1

公开(公告)日：2011-08-11

申请号：US12968603

申请日：2010-12-15

申请人： Cheng ZHONG ,  Zhongchao Shi ,  Xun Yuan ,  Tong Liu ,  Tao Li ,  Gang Wang

发明人： Cheng ZHONG ,  Zhongchao Shi ,  Xun Yuan ,  Tong Liu ,  Tao Li ,  Gang Wang

IPC分类号： G06K9/68

CPC分类号： G06K9/00288 ,  G06K9/6203

摘要： Disclosed are an apparatus and a method for determining a multi-view specific object. The apparatus comprises an input device for inputting image data; and cascade classifiers formed of stage classifiers corresponding to a same detection angle, the stage classifiers corresponding to different features. Each cascade classifier is for calculating a degree of confidence of the image data of a specific object corresponding to the detection angle based on the aspect of the corresponding feature, and determining whether the image data belongs to the specific object based on the degree of confidence. A self-adaptive posture prediction device is disposed between two stage classifiers in each cascade classifier, and is used to determine whether the image data enters the cascade classifiers corresponding to the detection angles and located after the self-adaptive posture prediction device.

摘要翻译： 公开了一种用于确定多视图特定对象的装置和方法。 该装置包括用于输入图像数据的输入装置; 并且级联分类器由阶段分类器形成，对应于相同的检测角度，阶段分类器对应于不同的特征。 每个级联分类器用于基于相应特征的方面来计算与检测角度对应的特定对象的图像数据的置信度，并且基于置信度来确定图像数据是否属于特定对象。 自适应姿势预测装置设置在每个级联分类器中的两级分类器之间，并且用于确定图像数据是否进入与检测角度相对应并位于自适应姿势预测装置之后的级联分类器。

公开(公告)号：US20120114250A1

公开(公告)日：2012-05-10

申请号：US13278564

申请日：2011-10-21

申请人： Cheng ZHONG ,  Xun Yuan ,  Tong Liu ,  Zhongchao Shi ,  Gang Wang

发明人： Cheng ZHONG ,  Xun Yuan ,  Tong Liu ,  Zhongchao Shi ,  Gang Wang

IPC分类号： G06K9/62

CPC分类号： G06K9/00228 ,  G06K9/6257

摘要： Disclosed are a system and a method for detecting a multi-view human face. The system comprises an input device configured to input image data; a hybrid classifier including a non-human-face rejection classifier configured to roughly detect non-human-face image data and plural angle tag classifiers configured to add an angle tag into the image data having a human face; and plural cascade angle classifiers. Each of the plural cascade angle classifiers corresponds to a human face angle. One of the plural cascade angle classifiers receives the image data with the angle tag output from the corresponding angle tag classifier, and further detects whether the received image data with the angle tag includes the human face.

摘要翻译： 公开了一种用于检测多视角人脸的系统和方法。 该系统包括被配置为输入图像数据的输入装置; 一种混合分类器，包括被配置为粗略地检测非人脸图像数据的非人脸拒绝分类器和被配置为将角度标签添加到具有人脸的图像数据中的多个角度标签分类器; 和多个级联角分类器。 多个级联角分类器中的每一个对应于人脸角度。 多个级联角分类器之一接收来自相应角度标签分类器的角度标签输出的图像数据，并进一步检测接收到的具有角度标签的图像数据是否包含人脸。

公开(公告)号：US20130058528A1

公开(公告)日：2013-03-07

申请号：US13589393

申请日：2012-08-20

申请人： Tong LIU ,  Zhongchao SHI ,  Cheng ZHONG ,  Yuan LIU ,  Yi CHEN

发明人： Tong LIU ,  Zhongchao SHI ,  Cheng ZHONG ,  Yuan LIU ,  Yi CHEN

IPC分类号： G06K9/00

CPC分类号： G06K9/00805 ,  G06K9/00798

摘要： Disclosed are a method and a system for detecting a vehicle position by employing a polarization image. The method comprises a step of capturing a polarization image by using a polarization camera; a step of acquiring two road shoulders in the polarization image based on a difference between a road surface and each of the two road shoulders in the polarization image, and determining a part between the two road shoulders as the road surface; a step of detecting at least one vehicle bottom from the road surface based on a significant pixel value difference between each wheel and the road surface in the polarization image; and a step of generating a vehicle position from the vehicle bottom based on a pixel value difference between a vehicle outline corresponding to the vehicle bottom and background in the polarization image.

摘要翻译： 公开了一种通过采用偏振图像来检测车辆位置的方法和系统。 该方法包括通过使用偏振照相机捕获偏振图像的步骤; 基于所述偏振图像中的路面与所述两个路肩中的每一个之间的差异，在所述偏振图像中获取两个路肩的步骤，以及确定所述两个路肩之间的部分作为所述路面; 基于所述偏振图像中的每个车轮与所述路面之间的有效像素值差异，从所述路面检测至少一个车辆底部的步骤; 以及基于车辆底部对应的车辆轮廓与偏振图像中的背景之间的像素值差异，从车辆底部产生车辆位置的步骤。