公开(公告)号：US20120314296A1

公开(公告)日：2012-12-13

申请号：US13154938

申请日：2011-06-07

申请人： Gal Shabtay ,  Ephraim Goldenberg ,  Pavel Reshidko ,  Noy Cohen

发明人： Gal Shabtay ,  Ephraim Goldenberg ,  Pavel Reshidko ,  Noy Cohen

IPC分类号： G02B13/18

CPC分类号： G02B13/18 ,  G02B13/0045

摘要： A lens system is provided that comprises an enhanced depth of field based on a uniform or near uniform relative illumination via a lens with a large distortion. The distortion can be corrected with image processing equipment. The lens system can comprise an aperture stop and a group of lens, wherein there can be about five lenses in the group of lenses. The lens system is designed for relative illumination such that the light distribution over the lens system is substantially uniform.

摘要翻译： 提供了一种透镜系统，其包括基于通过具有大失真的透镜的均匀或接近均匀的相对照明而增强的景深。 可以用图像处理设备校正失真。 透镜系统可以包括孔径光阑和一组透镜，其中在该组透镜中可以有大约五个透镜。 透镜系统设计用于相对照明，使得透镜系统上的光分布基本均匀。

公开(公告)号：US20120249841A1

公开(公告)日：2012-10-04

申请号：US13077891

申请日：2011-03-31

申请人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

发明人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

IPC分类号： H04N5/217

CPC分类号： G06T3/0018 ,  H04N5/217 ,  H04N5/23238

摘要： A technique of enhancing a scene containing one or more off-center peripheral regions within an initial distorted image captured with a large field of view includes determining and extracting an off-center region of interest (hereinafter “ROI”) within the image. Geometric correction is applied to reconstruct the off-center ROI into a rectangular or otherwise undistorted or less distorted frame of reference as a reconstructed ROI. A quality of reconstructed pixels is determined within the constructed ROI. Image analysis is selectively applied to the reconstructed ROI based on the quality of the reconstructed pixels.

摘要翻译： 一种增强包含在大视场捕获的初始失真图像内的一个或多个偏心外围区域的场景的技术包括确定并提取图像内的偏心偏离区域（以下称为ROI）。 应用几何校正来将偏心ROI重建为矩形或其他未失真或较不失真的参考系作为重建的ROI。 在构建的ROI内确定重构像素的质量。 基于重构像素的质量，将图像分析选择性地应用于重建的ROI。

公开(公告)号：US20120249727A1

公开(公告)日：2012-10-04

申请号：US13084340

申请日：2011-04-11

申请人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

发明人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

IPC分类号： H04N5/217

CPC分类号： G06T5/006 ,  G06T3/0062 ,  H04N5/23219 ,  H04N5/23238 ,  H04N5/3572

摘要： A technique of enhancing a scene containing one or more off-center peripheral regions within an initial distorted image captured with a large field of view includes determining and extracting an off-center region of interest (hereinafter “ROI”) within the image. Geometric correction is applied to reconstruct the off-center ROI into a rectangular or otherwise undistorted or less distorted frame of reference as a reconstructed ROI. A quality of reconstructed pixels is determined within the reconstructed ROI. One or more additional initially distorted images is/are acquired, and matching additional ROIs are extracted and reconstructed to combine with reduced quality pixels of the first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs.

摘要翻译： 一种增强包含在大视场捕获的初始失真图像内的一个或多个偏心外围区域的场景的技术包括确定并提取图像内的偏心偏离区域（以下称为ROI）。 应用几何校正来将偏心ROI重建为矩形或其他未失真或较不失真的参考系作为重建的ROI。 在重建的ROI内确定重建像素的质量。 获取一个或多个附加的初始失真图像，并且使用超分辨率技术提取和重构匹配附加ROI以与第一重建ROI的降低质量像素组合以提供一个或多个增强的ROI。

公开(公告)号：US20120249726A1

公开(公告)日：2012-10-04

申请号：US13078971

申请日：2011-04-02

申请人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

发明人： Peter Corcoran ,  Petronel Bigioi ,  Piotr Stec

IPC分类号： H04N5/225

CPC分类号： G06T5/006 ,  G06T3/0062 ,  G06T7/248 ,  G06T2207/10016 ,  G06T2207/30201 ,  H04N5/23219 ,  H04N5/23238

摘要： A technique of enhancing a scene containing one or more off-center peripheral regions within an initial distorted image captured with a large field of view includes determining and extracting an off-center region of interest (hereinafter “ROI”) within the image. Geometric correction is applied to reconstruct the off-center ROI into a rectangular or otherwise undistorted or less distorted frame of reference as a reconstructed ROI.

摘要翻译： 一种增强包含在大视场捕获的初始失真图像内的一个或多个偏心外围区域的场景的技术包括确定并提取图像内的偏心偏离区域（以下称为ROI）。 应用几何校正来将偏心ROI重建为矩形或其他未失真或较不失真的参考系作为重建的ROI。

公开(公告)号：US20120207347A1

公开(公告)日：2012-08-16

申请号：US13028205

申请日：2011-02-15

申请人： Felix Albu ,  Larry Murray ,  Piotr Stec ,  Ilariu Raducan

发明人： Felix Albu ,  Larry Murray ,  Piotr Stec ,  Ilariu Raducan

IPC分类号： G06K9/32 ,  G06K9/00

CPC分类号： G06T7/0048 ,  G06T7/20 ,  G06T7/70 ,  G06T7/77 ,  H04N5/23238

摘要： A measure of frame-to-frame rotation is determined. Integral projection vector gradients are determined and normalized for a pair of images. Locations of primary maximum and minimum peaks of the integral projection vector gradients are determined. Based on normalized distances between the primary maximum and minimum peaks, a global image rotation is determined.

摘要翻译： 确定帧到帧旋转的度量。 为一对图像确定和归一化积分投影矢量梯度。 确定积分投影矢量梯度的初始最大和最小峰的位置。 基于主要最大和最小峰值之间的归一化距离，确定全局图像旋转。

公开(公告)号：US20120206618A1

公开(公告)日：2012-08-16

申请号：US13028206

申请日：2011-02-15

申请人： Felix Albu ,  Larry Murray ,  Piotr Stec ,  Ilariu Raducan

发明人： Felix Albu ,  Larry Murray ,  Piotr Stec ,  Ilariu Raducan

IPC分类号： H04N5/228 ,  G06K9/00

CPC分类号： H04N5/23238 ,  G06T7/20 ,  G06T7/70 ,  H04N5/23267

摘要： A measure of frame-to-frame rotation is determined. A global XY alignment of a pair of image frames is performed. At least one section of each of the X and Y integral projection vectors is determined, where aligned global vectors demonstrate a significant localized difference. Based on X and Y locations of the at least one section of the X and Y integral projection vectors, location, relative velocity and/or approximate area of at least one moving object within the sequence of image frames is/are determined.

摘要翻译： 确定帧到帧旋转的度量。 执行一对图像帧的全局XY对齐。 每个X和Y积分投影矢量的至少一个部分被确定，其中对齐的全局矢量表现出显着的局部差异。 基于X和Y积分投影向量的至少一个部分的X和Y位置，确定图像帧序列内的至少一个移动物体的位置，相对速度和/或近似面积。

公开(公告)号：US20120120283A1

公开(公告)日：2012-05-17

申请号：US12944701

申请日：2010-11-11

申请人： Adrian Capata ,  Stefan Petrescu ,  Petronel Bigioi ,  Peter Corcoran

发明人： Adrian Capata ,  Stefan Petrescu ,  Petronel Bigioi ,  Peter Corcoran

IPC分类号： H04N5/217 ,  G06T5/00

CPC分类号： G06K9/6267 ,  G06K9/00255 ,  G06T5/003

摘要： A smart-focusing technique includes identifying an object of interest, such as a face, in a digital image. A focus-generic classifier chain is applied that is trained to match both focused and unfocused faces and/or data from a face tracking module is accepted. Multiple focus-specific classifier chains are applied, including a first chain trained to match substantially out of focus faces, and a second chain trained to match slightly out of focus faces. Focus position is rapidly adjusted using a MEMS component.

摘要翻译： 智能对焦技术包括在数字图像中识别感兴趣对象，例如面部。 应用聚焦通用分类器链，其被训练以匹配聚焦和未聚焦的面部和/或来自面部跟踪模块的数据被接受。 应用多个特定于焦点的分类器链，包括训练成基本上匹配焦点面部匹配的第一个链，以及训练为稍微匹配对焦面的第二个链。 使用MEMS组件快速调整对焦位置。

公开(公告)号：US20120069222A1

公开(公告)日：2012-03-22

申请号：US13190773

申请日：2011-07-26

申请人： Eran Steinberg ,  Petronel Bigioi ,  Adrian Zamfir ,  Alexandru Drimbarean ,  Peter Corcoran ,  Mihai Ciuc ,  Adrian Capata

发明人： Eran Steinberg ,  Petronel Bigioi ,  Adrian Zamfir ,  Alexandru Drimbarean ,  Peter Corcoran ,  Mihai Ciuc ,  Adrian Capata

IPC分类号： H04N5/262 ,  G06K9/48

CPC分类号： H04N5/262 ,  G06K9/00228 ,  G06K9/036 ,  G06K9/3208 ,  G06T7/11 ,  G06T2207/30196 ,  H04N5/222 ,  H04N5/2226 ,  H04N5/23219

摘要： A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both.

公开(公告)号：US20120057041A1

公开(公告)日：2012-03-08

申请号：US13189477

申请日：2011-07-22

申请人： Piotr Stec ,  Larry Murray ,  Alexandru Drimbarean

发明人： Piotr Stec ,  Larry Murray ,  Alexandru Drimbarean

IPC分类号： G06K9/00 ,  H04N5/228

CPC分类号： H04N5/217 ,  G06T5/006 ,  H04N17/002

摘要： Methods and systems for detecting and correcting chromatic aberration and purple fringing are disclosed. Chromatic aberration can be addressed by separating an image into color planes and then adjusting these to reduce chromatic aberration by using a specific calibration image (calibration chart) as an empirical method to calibrate the image acquisition device. Purple fringing can be corrected by initially addressing color aberration resulting from the lateral chromatic aberration (LCA). The LCA is first removed and then the correction is extended to purple fringing. A discovery is relied upon that the purple fringing is created in the direction of the chromatic aberration and is more pronounced in the direction of the chromatic aberration.

公开(公告)号：US20120019613A1

公开(公告)日：2012-01-26

申请号：US13174687

申请日：2011-06-30

申请人： Larry Murray ,  Igor Barcovschi ,  Piotr Stec ,  James Harkin ,  Petronel Bigioi ,  George Susanu ,  Alexandru Drimbarean ,  Peter Corcoran

发明人： Larry Murray ,  Igor Barcovschi ,  Piotr Stec ,  James Harkin ,  Petronel Bigioi ,  George Susanu ,  Alexandru Drimbarean ,  Peter Corcoran

IPC分类号： H04N13/02

CPC分类号： G06T3/4038 ,  H04N13/106

摘要： A technique of generating a stereoscopic panorama image includes panning a portable camera device, and acquiring multiple image frames. Multiple at least partially overlapping image frames are acquired of portions of the scene. The method involves registering the image frames, including determining displacements of the imaging device between acquisitions of image frames. Multiple panorama images are generated including joining image frames of the scene according to spatial relationships and dynamically determining stereoscopic counterpart relationships between the multiple panorama images. The multiple panorama images are processed based on the dynamically determined stereoscopic counterpart relationships to form a stereoscopic panorama image.

摘要翻译： 产生立体全景图像的技术包括平移便携式相机装置，并获取多个图像帧。 获取场景部分的多个至少部分重叠的图像帧。 该方法包括登记图像帧，包括在获取图像帧之间确定成像装置的位移。 产生多个全景图像，包​​括根据空间关系连接场景的图像帧并动态地确定多个全景图像之间的立体对等关系。 基于动态确定的立体对等关系来处理多个全景图像以形成立体全景图像。