公开(公告)号：US06697503B2

公开(公告)日：2004-02-24

申请号：US09725751

申请日：2000-11-30

申请人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata ,  Naruatsu Baba ,  Toshiaki Ejima

发明人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata ,  Naruatsu Baba ,  Toshiaki Ejima

IPC分类号： G06K900

CPC分类号： G06K9/00234 ,  G06K9/4633

摘要： In a broadly-applicable face image extraction device and method for defining a face by position and size in target images varied in type for face image extraction at high speed, an edge extraction part 1 extracts an edge part from a target image and generates an edge image. A template storage part 2 previously stores a template composed of a plurality of concentric shapes varied in size. A voting result storage part 3 has voting storage regions for each size of the concentric shapes of the template so as to store the result obtained by voting processing carried out by a voting part 4. The voting part 4 carries out the voting processing utilizing the template at each pixel in the edge image, and stores the result obtained thereby in the corresponding voting storage region. After the voting processing, an analysis part 5 performs cluster evaluation based on the voting results stored in the voting storage regions, and then defines the face in the target image by position and size.

摘要翻译： 在广泛应用的面部图像提取装置和方法中，边缘提取部分1从目标图像中提取边缘部分，并且生成边缘部分 图片。 模板存储部件2预先存储由尺寸变化的多个同心形状组成的模板。 投票结果存储部分3具有用于模板的同心形状的每个大小的投票存储区域，以便存储由投票部分4执行的投票处理获得的结果。投票部分4使用模板执行投票处理 在边缘图像的每个像素处，并将由此获得的结果存储在相应的投票存储区域中。 在投票处理之后，分析部5基于存储在投票存储区域中的投票结果进行集群评价，然后通过位置和大小来定义目标图像中的面部。

公开(公告)号：US07123754B2

公开(公告)日：2006-10-17

申请号：US10154404

申请日：2002-05-22

申请人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata ,  Katsuhiro Iwasa ,  Toshirou Eshima ,  Naruatsu Baba

发明人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata ,  Katsuhiro Iwasa ,  Toshirou Eshima ,  Naruatsu Baba

IPC分类号： G06K9/00

CPC分类号： G06K9/00228 ,  G06T7/74

摘要： A face detection device includes a face learning dictionary, which holds learned information for identification between a facial image and a non-facial image. An image input unit inputs a subject image. An edge image extraction unit extracts an edge image from the subject image. A partial image extraction unit, based on the edge image, extracts partial images that are candidates to contain facial images from the subject image. A face/non-face identification unit references the learning dictionary to identify whether or not each extracted partial image contains a facial image. Face detection of high precision, which reflects learned results, is performed.

公开(公告)号：US06215890B1

公开(公告)日：2001-04-10

申请号：US09160048

申请日：1998-09-25

申请人： Hideaki Matsuo ,  Yuji Takata ,  Terutaka Teshima ,  Seiji Igi ,  Shan Lu ,  Kazuyuki Imagawa

发明人： Hideaki Matsuo ,  Yuji Takata ,  Terutaka Teshima ,  Seiji Igi ,  Shan Lu ,  Kazuyuki Imagawa

IPC分类号： G06F936

CPC分类号： G06F3/017 ,  G06K9/00355 ,  H04N13/239 ,  H04N13/243 ,  H04N2013/0081

摘要： A hand gesture recognizing device is provided which can correctly recognize hand gestures at high speed without requiring users to be equipped with tools. A gesture of a user is stereoscopically filmed by a photographing device 1 and then stored in an image storage device 2. A feature image extracting device 3 transforms colors of the stereoscopic image data read from the image storage device 2 in accordance with color transformation tables created by a color transformation table creating device 13, and disassembles and outputs the feature image of the user in corresponding channels. A spatial position calculating device 4 calculates spatial positions of feature parts of the user by utilizing parallax of the feature image outputted from the feature image extracting device 4. A region dividing device 5 defines the space around the user with spatial region codes. A hand gesture detecting device 6 detects how the hands of the user move in relation to the spatial region codes. A category is detected first on the basis of the detected hand gesture, and then a sign language word in that category is specified.

摘要翻译： 提供了一种手势识别装置，其可以在不需要用户配备工具的情况下以高速度正确识别手势。 用户的手势由拍摄装置1立体地拍摄，然后存储在图像存储装置2中。特征图像提取装置3根据所生成的颜色变换表，转换从图像存储装置2读取的立体图像数据的颜色 通过颜色变换表创建装置13，并且在对应的频道中分解并输出用户的特征图像。 空间位置计算装置4通过利用从特征图像提取装置4输出的特征图像的视差来计算用户的特征部分的空间位置。区域划分装置5使用空间区域码定义用户周围的空间。 手势检测装置6检测用户的手相对于空间区域代码移动的方式。 首先基于检测到的手势来检测类别，然后指定该类别中的手语。

公开(公告)号：US06559954B2

公开(公告)日：2003-05-06

申请号：US09727962

申请日：2000-12-01

申请人： Yuji Takata ,  Hideaki Matsuo ,  Kazuyuki Imagawa ,  Takeshi Ohashi

发明人： Yuji Takata ,  Hideaki Matsuo ,  Kazuyuki Imagawa ,  Takeshi Ohashi

IPC分类号： G01B1124

CPC分类号： G01B11/2536 ,  G01B11/2527

摘要： A 3D shape measurement method and a device using the method eliminate harmful influences of periodic inconstancy in the phase shift method. Optical intensity patterns following periodic functions of sine waves are irradiated on an object while shifting the phases thereof. Based on the image picked up from the object, the 3D shape of the object is measured. In this method, a plurality of optical intensity patterns following periodic functions with varying wavelengths are projected onto the object so as not to interfere with each other. The least common multiple of the wavelengths of the periodic functions is larger than the extent having periodic inconstancy within the image pickup area.

摘要翻译： 3D形状测量方法和使用该方法的装置消除了相移方法中周期性不稳定的有害影响。 正弦波的周期性函数之后的光强度图案被照射在物体上，同时使其相位移动。 基于从对象拾取的图像，测量对象的3D形状。 在该方法中，将具有变化的波长的周期性函数之后的多个光强度图案投影到物体上以不彼此干扰。 周期函数的波长的最小公倍数大于在图像拾取区域内具有周期性变化的程度。

公开(公告)号：US07227996B2

公开(公告)日：2007-06-05

申请号：US10057756

申请日：2002-01-25

申请人： Kazuyuki Imagawa ,  Tetsuya Yoshimura ,  Katsuhiro Iwasa ,  Hideaki Matsuo ,  Yuji Takata

发明人： Kazuyuki Imagawa ,  Tetsuya Yoshimura ,  Katsuhiro Iwasa ,  Hideaki Matsuo ,  Yuji Takata

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/66

CPC分类号： G06K9/6202 ,  G06K9/522

摘要： An image processing method for detecting an object from an input image using a template image, including inputting a specified image with respect to both a template image and an input image, calculating an edge normal direction vector of said specified image, generating an evaluation vector from said edge normal direction vector, subjecting the evaluation vector to orthogonal transformation, a step of performing a product sum calculation of corresponding spectral data with respect to each evaluation vector that has been subjected to orthogonal transformation and has been obtained for each of said template image and said input image, and a step of subjecting it to inverse orthogonal transformation and generating a similarity value map. The formula of the similarity value, the orthogonal transformation, and the inverse orthogonal transformation each have linearity. The pattern recognition is one in which the component of the similarity value is not subjected to positive/negative reversal through variations in brightness of the background.

摘要翻译： 一种用于使用模板图像从输入图像中检测对象的图像处理方法，包括相对于模板图像和输入图像输入指定图像，计算所述指定图像的边缘法线方向向量，从 所述边缘法线方向矢量，对所述评估矢量进行正交变换，对相对于已进行了正交变换的评估矢量对应的光谱数据进行乘积和计算的步骤，并且对于所述模板图像和 所述输入图像，以及对其进行逆正交变换并产生相似度值图的步骤。 相似度公式，正交变换和逆正交变换各具有线性关系。 模式识别是通过背景亮度的变化，相似度值的分量不经受正/负反转的模式识别。

公开(公告)号：US06961446B2

公开(公告)日：2005-11-01

申请号：US09950085

申请日：2001-09-12

申请人： Kazuyuki Imagawa ,  Yuji Takata ,  Hideaki Matsuo ,  Katsuhiro Iwasa ,  Tetsuya Yoshimura

发明人： Kazuyuki Imagawa ,  Yuji Takata ,  Hideaki Matsuo ,  Katsuhiro Iwasa ,  Tetsuya Yoshimura

IPC分类号： G06T3/00 ,  G06T5/00 ,  G06T7/60 ,  G06T11/60 ,  G10L11/02 ,  G10L13/00 ,  H04M3/53 ,  H04M3/56 ,  H04M11/00 ,  H04N1/387 ,  H04N5/91 ,  H04N7/14 ,  G06K9/00

CPC分类号： H04N7/141 ,  G11B27/28 ,  H04M3/5307 ,  H04M3/567 ,  H04M2201/38 ,  H04N21/41407 ,  H04N21/4223 ,  H04N21/4331 ,  H04N21/47205 ,  H04N21/4788 ,  H04N21/8543 ,  H04N2007/145 ,  H04W4/12 ,  H04W4/18 ,  H04W88/02

摘要： The present media editing device generates media including messages in an easy manner in a communication terminal such as a mobile terminal. Therein, a moving image data storage part stores moving image data recorded by a user. A region extraction part extracts any region including the user from the moving image data. A front determination part detects whether or not the user in the extracted region is facing the front. A sound detection part detects the presence or absence of a sound signal of a predetermined level or higher. A frame selection part determines starting and ending frames based on the results outputted from the front determination part and the sound detection part. An editing part performs, for example, an image conversion process by clipping out the media based on thus determined starting and ending frames. A transmission data storage part stores the resultantly edited media as transmission data.

摘要翻译： 本发明的媒体编辑装置在诸如移动终端的通信终端中以简单的方式生成包括消息的媒体。 其中，运动图像数据存储部存储由用户记录的运动图像数据。 区域提取部分从运动图像数据中提取包括用户的任何区域。 前方确定部分检测提取区域中的用户是否面向前方。 声音检测部分检测是否存在预定级别或更高级别的声音信号。 帧选择部分基于从前面确定部分和声音检测部分输出的结果来确定开始和结束帧。 编辑部分通过基于这样确定的开始和结束帧来削减媒体来执行例如图像转换处理。 传输数据存储部分将所编辑的媒体存储为发送数据。

公开(公告)号：US06704433B2

公开(公告)日：2004-03-09

申请号：US09741384

申请日：2000-12-20

申请人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata

发明人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata

IPC分类号： G06K900

CPC分类号： G06K9/00369 ,  G01S3/7865 ,  G06T7/20

摘要： A human tracking device according to the present invention stably tracks a human with good perception of the distance to a human with high resistance against disturbance. A camera image is divided into a human region and a background region. Then, each area of the image is judged whether or not the human region can be divided into a plurality of blob models corresponding to parts of a human. The parts of a human are preferably the head, trunk and legs. When the result of the judgment is “YES”, a plurality of human blob models are produced based on the human region. When the result of the judgment is “NO”, a single human blob model is produced based on the human region. The human is then tracked based on these human blob models. In this way, the human can be stably tracked with good perception of the distance to the human and with high resistance against disturbance.

摘要翻译： 根据本发明的人体跟踪装置稳定地跟踪具有高抗干扰能力的对人的距离的良好感知的人。 相机图像被分为人类区域和背景区域。 然后，判断图像的每个区域是否可以将人类区域划分为与人的部分对应的多个斑点模型。 人的部分最好是头，躯干和腿。 当判断结果为“是”时，基于人类区域产生多个人体斑块模型。 当判断结果为“否”时，基于人类区域产生单个人体斑块模型。 然后基于这些人类斑块模型跟踪人类。 通过这种方式，可以很好地跟踪对人的距离和高抗干扰能力的人的追踪。

公开(公告)号：US06603876B1

公开(公告)日：2003-08-05

申请号：US09349968

申请日：1999-07-09

申请人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata

发明人： Hideaki Matsuo ,  Kazuyuki Imagawa ,  Yuji Takata

IPC分类号： G03B3510

CPC分类号： G03B35/10 ,  H04N13/111 ,  H04N13/161 ,  H04N13/189 ,  H04N13/218 ,  H04N13/239 ,  H04N2013/0081

摘要： Two pictures of a subject obtained by objective lenses and from different locations of viewpoint are respectively rotated by dove prisms, 90 degrees clockwise, and then merged into a single picture by total reflection mirrors. The picture after synthesis is reduced at a predetermined ratio by a condenser lens, and then projected onto a pickup plane of a CCD. It is therefore possible to obtain stereoscopic pictures having parallax as a single picture using a single camera without narrowing the effective fields of view of right and left pictures of different viewpoints.

摘要翻译： 通过物镜获得的物体和来自不同视点位置的物体的两张照片分别由鸽子棱镜顺时针旋转90度，然后通过全反射镜合并成单张照片。 合成后的图像通过聚光透镜以预定的比例被减小，然后投影到CCD的拾取平面上。 因此，可以使用单个相机获得具有视差的立体图像，而不会缩小不同视点的左右图像的有效视场。

公开(公告)号：US06819782B1

公开(公告)日：2004-11-16

申请号：US09588948

申请日：2000-06-08

申请人： Kazuyuki Imagawa ,  Hideaki Matsuo ,  Seiji Igi ,  Shan Lu

发明人： Kazuyuki Imagawa ,  Hideaki Matsuo ,  Seiji Igi ,  Shan Lu

IPC分类号： G06K900

CPC分类号： G06K9/00375 ,  G06K9/00355 ,  G06T7/74

摘要： An object of the present invention is to provide a device and a method for recognizing hand shape and position even if a hand image to be provided for recognition is rather complicated in shape, and a recording medium having a program for carrying out the method recorded thereon. A hand image normalization part 11 deletes a wrist region respectively from a plurality of images varied in hand shape and position before subjecting the images to normalization in hand orientation and size to generate hand shape images. An eigenspace calculation part 13 calculates an eigenvalue and an eigenvector respectively from the hand shape images under an analysis based on an eigenspace method. An eigenspace projection part 15 calculates eigenspace projection coordinates by projecting the hand shape images onto an eigenspace having the eigenvectors as a basis. A hand image normalization part 21 deletes a wrist region from an input hand image, and generates an input hand shape image by normalizing the input hand image to be equivalent to the hand shape images. An eigenspace projection part 22 calculates eigenspace projection coordinates for the input hand shape image by projecting the same onto the eigenspace having the eigenvectors as the basis. A hand shape image selection part 23 compares the eigenspace projection coordinates calculated for the input hand shape image with each of the eigenspace projection coordinates calculated for the hand shape images, and then determines which of the hand shape images is closest to the input hand shape image. A shape/position output part 24 outputs shape information and position information on the determined hand shape image.

摘要翻译： 本发明的目的是提供一种用于识别手形和位置的装置和方法，即使要提供用于识别的手形图像的形状相当复杂，并且具有用于执行其上记录的方法的程序的记录介质 手图像归一化部11分别从手形和位置变化的多个图像中分离手腕区域，然后使图像在手方向和尺寸上进行归一化以产生手形图像。 本征空间计算部13基于本征空间法在分析下从手形图像分别计算特征值和特征向量。 本征空间投影部15通过将手形图像投影到具有特征向量的本征空间作为基础来计算本征空间投影坐标。 手形图像归一化部21从输入的手图像中删除腕部区域，并且通过将输入的手图像归一化为与手形图像相当的手段来生成输入的手形图像。 本征空间投影部22通过将其投影到具有特征向量的本征空间作为基础，来计算输入的手形图像的本征空间投影坐标。 手形图像选择部23将输入的手形图像计算出的本征空间投影坐标与针对手形图像计算的每个本征空间投影坐标进行比较，然后确定手形图像中哪一个最接近输入的手形图像 。 形状/位置输出部24输出关于确定的手形图像的形状信息和位置信息。

公开(公告)号：US07133658B2

公开(公告)日：2006-11-07

申请号：US10698435

申请日：2003-11-03

申请人： Kazuyuki Imagawa ,  Katsuhiro Iwasa ,  Takaaki Nishi ,  Eiji Fukumiya ,  Hideaki Matsuo ,  Tomonori Kataoka ,  Satoshi Kajita ,  Ikuo Fuchigami

发明人： Kazuyuki Imagawa ,  Katsuhiro Iwasa ,  Takaaki Nishi ,  Eiji Fukumiya ,  Hideaki Matsuo ,  Tomonori Kataoka ,  Satoshi Kajita ,  Ikuo Fuchigami

IPC分类号： H04Q7/20

CPC分类号： G06T11/60

摘要： The position of a body part area for a personal image in an input image is detected. According to the position of the detected body part area, the position of the origin of a coordinate system for an ornament image is defined. Based on the position of the defined origin, an ornament-arranged input image is outputted. When the personal image moves in the input image, the ornament image also moves by following the movement of the personal image. Even when both the personal image and ornament image move, the ornament image can be made not to interfere with the personal image. Therefore, the personal image can be clearly displayed. Moreover, the input image can be made to look more interesting by synchronizing the movement of the ornament image with the movement of the personal image.

摘要翻译： 检测输入图像中的个人图像的身体部位面积的位置。 根据检测到的身体部位的位置，定义装饰图像的坐标系的原点的位置。 基于定义的原点的位置，输出装饰布置的输入图像。 当个人图像在输入图像中移动时，装饰图像也随着个人图像的移动而移动。 即使个人图像和装饰图像都移动，装饰图像也可以不影响个人图像。 因此，可以清楚地显示个人图像。 此外，通过使装饰图像的移动与个人图像的移动同步，可以使输入图像看起来更有趣。