公开(公告)号：WO2011107448A2

公开(公告)日：2011-09-09

申请号：PCT/EP2011/052970

申请日：2011-03-01

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  GANGEA, Mihnea ,  STEC, Piotr

Inventor： CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  GANGEA, Mihnea ,  STEC, Piotr

IPC: G06T5/00

CPC classification number: G02B21/22 ,  G06K9/6257 ,  G06T5/006 ,  G06T2207/30201 ,  H04N5/23219 ,  H04N5/23238

Abstract: An image acquisition device having a wide field of view includes a lens and image sensor configured to capture an original wide field of view (WFoV) image with a field of view of more than 90°. The device has an object detection engine that includes one or more cascades of object classifiers, e.g., face classifiers. A WFoV correction engine may apply rectilinear and/or cylindrical projections to pixels of the WFoV image, and/or non-linear, rectilinear and/or cylindrical lens elements or lens portions serve to prevent and/or correct distortion within the original WFoV image. One or more objects located within the original and/or distortion-corrected WFoV image is/are detectable by the object detection engine upon application of the one or more cascades of object classifiers.

Abstract translation: 具有宽视野的图像采集装置包括：镜头和图像传感器，被配置为捕获具有大于90°的视场的原始宽视野（WFoV）图像。 该装置具有对象检测引擎，其包括一个或多个对象分类器级联，例如面部分类器。 WFoV校正引擎可以对WFoV图像的像素施加直线和/或圆柱形投影，和/或非线性直线和/或柱面透镜元件或透镜部分用于防止和/或校正原始WFoV图像内的失真。 位于原始和/或失真校正的WFoV图像内的一个或多个对象在应用一个或多个对象分类器级联时可由对象检测引擎检测。

公开(公告)号：WO2010145910A1

公开(公告)日：2010-12-23

申请号：PCT/EP2010/056999

申请日：2010-05-20

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  DRIMBAREAN, Alexandru ,  ZAMFIR, Adrian ,  ALBU, Felix ,  POENARU, Vladimir ,  FLOREA, Corneliu ,  BIGIOI, Petronel ,  STEINBERG, Eran ,  CORCORAN, Peter

Inventor： DRIMBAREAN, Alexandru ,  ZAMFIR, Adrian ,  ALBU, Felix ,  POENARU, Vladimir ,  FLOREA, Corneliu ,  BIGIOI, Petronel ,  STEINBERG, Eran ,  CORCORAN, Peter

IPC: H04N5/235

CPC classification number: H04N5/2355 ,  G06T5/009 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10144 ,  H04N5/235 ,  H04N9/045

Abstract: A method of combining image data from multiple frames to enhance one or more parameters of digital image quality, e.g., video or still images, includes acquiring a first image at a first exposure duration, as well as acquiring a second image at a second exposure duration shorter than the first exposure duration and at a time just before, just after or overlapping in time with acquiring the first image, such that the first and second images include approximately a same first scene. In this way, the second image is relatively sharp and under-exposed, while the first image is relatively well-exposed and less sharp than the second image. Brightness and/or color information are extracted from the first image and applied to the second image to generate an enhanced version of the second image.

Abstract translation: 一种组合来自多个帧的图像数据以增强数字图像质量的一个或多个参数（例如，视频或静止图像）的方法包括以第一曝光持续时间获取第一图像，以及以第二曝光持续时间获取第二图像 短于第一曝光持续时间，并且在获取第一图像时在刚刚之前，恰好在或重叠之后的时间，使得第一和第二图像包括大致相同的第一场景。 以这种方式，第二图像相对较锋利且曝光不足，而第一图像相对曝光较好，并且不如第二图像那样锐利。 从第一图像提取亮度和/或颜色信息并将其应用于第二图像以生成第二图像的增强版本。

公开(公告)号：WO2011000841A1

公开(公告)日：2011-01-06

申请号：PCT/EP2010/059228

申请日：2010-06-29

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  PETRESCU, Stefan ,  GANGEA, Mihnea

Inventor： PETRESCU, Stefan ,  GANGEA, Mihnea

IPC: G06K9/00 ,  G06T7/00 ,  H04N5/225

CPC classification number: G06K9/00248 ,  G06K9/4614 ,  G06K9/6256 ,  H04N5/23219

Abstract: Classifier chains are used to determine quickly and accurately if a window or sub- window of an image contains a right face, a left face, a full face, or does not contain a face. After acquiring a digital image, an integral image is calculated based on the acquired digital image. Left-face classifiers are applied to the integral image to determine the probability that the window contains a left face. Right-face classifiers are applied to the integral image to determine the probability that the window contains a right face. If the probability of the window containing a right face and a left face are both greater than threshold values, then it is determined that the window contains a full face. Alternatively, if only one of the probabilities exceeds a threshold value, then it may be determined that the window contains only a left face or a right face.

Abstract translation: 分类器链用于快速准确地确定图像的窗口或子窗口是否包含右脸，左脸，全脸或不包含脸部。 在获取数字图像之后，基于获取的数字图像计算积分图像。 左面分类器应用于积分图像以确定窗口包含左脸的概率。 将右脸分类器应用于积分图像，以确定窗口包含右脸的概率。 如果包含右脸和左脸的窗口的概率都大于阈值，则确定该窗口包含全脸。 或者，如果只有一个概率超过阈值，则可以确定窗口仅包含左脸或右脸。

公开(公告)号：WO2011082366A1

公开(公告)日：2011-07-07

申请号：PCT/US2010/062605

申请日：2010-12-30

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  ALCAZAR, Jose Antonio Mendez

Inventor： ALCAZAR, Jose Antonio Mendez

IPC: G06K9/00

CPC classification number: G06T11/001 ,  H04N9/735

Abstract: A method and device is provided for adjusting the white balance of a digital image by adjusting the values assigned to the red, green, and blue subpixels of a pixel in the image. The adjustment to the subpixels is determined by identifying pixels in the image that have an RGB product greater than a threshold value, wherein the threshold value is based at least in part on an average of the RGB products of each pixel in the image and a variance between the RGB products of the pixels and the average of the RGB products.

Abstract translation: 提供一种通过调整分配给图像中的像素的红色，绿色和蓝色子像素的值来调整数字图像的白平衡的方法和装置。 通过识别具有大于阈值的RGB乘积的图像中的像素来确定对子像素的调整，其中阈值至少部分地基于图像中的每个像素的RGB乘积的平均值和方差 像素的RGB产品和RGB产品的平均值之间。

公开(公告)号：WO2011069698A1

公开(公告)日：2011-06-16

申请号：PCT/EP2010/064107

申请日：2010-09-24

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  STEC, Piotr ,  MURRAY, Larry ,  BARCOVSCHI, Igor

Inventor： CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  STEC, Piotr ,  MURRAY, Larry ,  BARCOVSCHI, Igor

IPC: G03B37/02 ,  H04N5/262

CPC classification number: H04N5/235 ,  G03B37/02 ,  G03B37/04 ,  H04N5/23229 ,  H04N5/23238 ,  H04N5/23254

Abstract: A technique of generating a panoramic image involves acquiring a set of at least two main image frames of overlapping portions of a scene. A map or other information is stored relating to the joining of the image frames. A main panorama image is formed by joining main image frames based on the map or information gained in a similar low-res process.

Abstract translation: 产生全景图像的技术涉及获取场景的重叠部分的至少两个主要图像帧的集合。 存储与图像帧的连接有关的地图或其他信息。 通过基于在相似的低分辨率处理中获得的地图或信息连接主要图像帧来形成主要全景图像。

公开(公告)号：WO2010133661A1

公开(公告)日：2010-11-25

申请号：PCT/EP2010/056946

申请日：2010-05-20

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  BACIVAROV, Ioana ,  CORCORAN, Peter

Inventor： BACIVAROV, Ioana ,  CORCORAN, Peter

IPC: G06K9/00

CPC classification number: G06K9/00308 ,  G06K9/00281

Abstract: A face is detected and identified within an acquired digital image. One or more features of the face is/are extracted from the digital image, including two independent eyes or subsets of features of each of the two eyes, or lips or partial lips or one or more other mouth features and one or both eyes, or both. A model including multiple shape parameters is applied to the two independent eyes or subsets of features of each of the two eyes, and/or to the lips or partial lips or one or more other mouth features and one or both eyes. One or more similarities between the one or more features of the face and a library of reference feature sets is/are determined. A probable facial expression is identified based on the determining of the one or more similarities.

Abstract translation: 在所获取的数字图像内检测和识别面部。 面部的一个或多个特征从数字图像提取，包括两个独立的眼睛或两只眼睛中的每一个的特征的子集，或者嘴唇或部分嘴唇或一个或多个其他嘴部特征和一只或两只眼睛，或 都。 将包括多个形状参数的模型应用于两只眼睛中的每一个的独立眼睛或特征子集，和/或唇部或部分唇缘或一个或多个其他嘴部特征以及一只或两只眼睛。 确定面部的一个或多个特征与参考特征集的库之间的一个或多个相似性。 基于确定一个或多个相似性来识别可能的面部表情。

公开(公告)号：WO2011060940A3

公开(公告)日：2011-05-26

申请号：PCT/EP2010/007019

申请日：2010-11-18

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  ENGELHARDT, Kai ,  RESHIDKO, Pavel ,  GOLDENBERG, Ephraim ,  SHABTAY, GaI

Inventor： ENGELHARDT, Kai ,  RESHIDKO, Pavel ,  GOLDENBERG, Ephraim ,  SHABTAY, GaI

IPC: G02B13/00

Abstract: Providing for a fixed focus optical system exhibiting extended depth of field is provided herein. By way of example, a compact and fast optical system that yields an asymmetric modulation transfer function (MTF) is disclosed. In some aspects, the asymmetric MTF results in extended depth of field for near field objects. Such a response can be particularly beneficial for small handheld cameras or camera modules having high resolution. According to some disclosed aspects, the resolution can be about 8 mega pixels. Additionally, the optical system can comprise four lenses in one aspect and five lenses in another, while remaining below about 5.3 mm total track length (TTL) for the respective systems. In at least one application, the disclosed optical systems can be employed for a high resolution compact camera, for instance in conjunction with an electronic computing device, communication device, display device, surveillance equipment, or the like.

公开(公告)号：WO2011039040A1

公开(公告)日：2011-04-07

申请号：PCT/EP2010/063293

申请日：2010-09-10

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  COSTACHE, Gabriel

Inventor： CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  COSTACHE, Gabriel

IPC: G06K9/00

CPC classification number: G06K9/00295 ,  G06K9/00248 ,  G06K9/00261 ,  G06K9/4604

Abstract: A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data.

Abstract translation: 提供了使用数字图像采集装置识别图像流中的面部的技术。 从图像流接收第一获取的图像。 在具有给定尺寸的第一获取图像内检测到第一面部区域和在第一获取图像内的相应位置。 与第一面部区域周围的第一周围区域数据一起提取唯一地识别第一面部区域的第一面部印刷数据。 存储第一面印和外围区域数据，并且第一周边区域数据与第一面部区域相关联。 跟踪第一个脸部区域，直到脸部锁定丢失。 在来自图像流的第二获取图像内检测第二面部区域。 提取围绕第二面部区域的第二周边区域数据。 在匹配第一和第二外围区域数据时识别第二面部区域。

公开(公告)号：WO2010136593A3

公开(公告)日：2010-12-02

申请号：PCT/EP2010/057492

申请日：2010-05-28

Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  CAPATA, Adrian ,  CIUC, Mihai ,  ZAMFIR, Adrian ,  DRIMBAREAN, Alexandru

Inventor： CAPATA, Adrian ,  CIUC, Mihai ,  ZAMFIR, Adrian ,  DRIMBAREAN, Alexandru

IPC: G06T7/00 ,  H04N5/225 ,  H04N5/235 ,  H04N5/272

Abstract: Foreground and background regions of a digital image of a scene are distinguished from each other automatically. Foreground objects are identified in a binary image map that distinguishes between foreground pixels and background pixels. From the foreground objects, a primary foreground object is identified. Within the identified primary foreground object, a head region of the primary foreground object is located. Within the head region, patterns of foreground pixels and background pixels that are indicative of a head crown region are identified. Within the head crown region, pixels identified as background pixels that actually show portions of the primary foreground object are converted to foreground pixels, thus improving the accuracy of the binary image map.