公开(公告)号：US20110191073A1

公开(公告)日：2011-08-04

申请号：US12700654

申请日：2010-02-04

Applicant: Jaewon Kim ,  Ramesh Raskar

Inventor： Jaewon Kim ,  Ramesh Raskar

IPC: G06F17/10 ,  G01B11/26 ,  G01J3/50 ,  H04N7/18

CPC classification number: G01B11/26 ,  G01J3/50 ,  G06F17/10 ,  H04N7/18

Abstract: In an exemplary implementation of this invention, light from a scattering scene passes through a spatial light attenuation pattern and strikes a sensor plane of a camera. Based on said camera's measurements of the received light, a processing unit calculates angular samples of the received light. Light that strikes the sensor plane at certain angles comprises both scattered and directly transmitted components; whereas light that strikes at other angles comprises solely scattered light. A processing unit calculates a polynomial model for the intensity of scattered-only light that falls at the latter angles, and further estimates the direct-only component of the light that falls at the former angles. Further, a processing unit may use the estimated direct component to calculate a reconstructed 3D shape, such as a 3D shape of a finger vein pattern, using an algebraic reconstruction technique.

Abstract translation: 在本发明的示例性实施方式中，来自散射场景的光通过空间光衰减图案并撞击照相机的传感器平面。 基于所述相机对所接收的光的测量，处理单元计算所接收的光的角度样本。 以某一角度撞击传感器平面的光包括散射和直接传输的部件; 而以其他角度撞击的光仅包括散射光。 处理单元计算以后角度落下的散射光强度的多项式模型，并且进一步估计以前一角度落下的光的直接分量。 此外，处理单元可以使用估计的直接分量来使用代数重建技术来计算重建的3D形状，例如手指静脉图案的3D形状。

公开(公告)号：US07780364B2

公开(公告)日：2010-08-24

申请号：US12113359

申请日：2008-05-01

Applicant: Ramesh Raskar ,  Cyrus A. Wilson ,  Amit K. Agrawal

Inventor： Ramesh Raskar ,  Cyrus A. Wilson ,  Amit K. Agrawal

IPC: G03B7/00 ,  G03B9/02

CPC classification number: G02B27/0018 ,  H04N5/2171 ,  H04N5/2254 ,  H04N5/3572 ,  H04N17/002

Abstract: Glare is reduced by acquiring an input image with a camera having a lens and a sensor, in which a pin-hole mask is placed in close proximity to the sensor. The mask localizes the glare at readily identifiable pixels, which can then be filtered to produce a glare reduce output image.

Abstract translation: 通过用具有透镜和传感器的相机获取输入图像来减少眩光，其中将针孔掩模放置在靠近传感器的位置。 掩模将容易识别的像素的眩光定位，然后可以对其进行滤波以产生眩光减少输出图像。

公开(公告)号：US20090116728A1

公开(公告)日：2009-05-07

申请号：US11936416

申请日：2007-11-07

Applicant: Amit K. Agrawal ,  Ramesh Raskar

Inventor： Amit K. Agrawal ,  Ramesh Raskar

IPC: G06K9/00

CPC classification number: B22D46/00 ,  B22D11/1265 ,  G06T7/74 ,  G06T7/75

Abstract: A method and system determines a 3D pose of an object in a scene. Depth edges are determined from a set of images acquired of a scene including multiple objects while varying illumination in the scene. The depth edges are linked to form contours. The images are segmented into regions according to the contours. An occlusion graph is constructed using the regions. The occlusion graph includes a source node representing an unoccluded region of an unoccluded object in scene. The contour associated with the unoccluded region is compared with a set of silhouettes of the objects, in which each silhouette has a known pose. The known pose of a best matching silhouette is selected as the pose of the unoccluded object.

Abstract translation: 方法和系统确定场景中对象的3D姿态。 深度边缘由在场景中改变照明的包括多个对象的场景获取的一组图像确定。 连接深度边缘以形成轮廓。 根据轮廓将图像分割成多个区域。 使用这些区域构建闭塞图。 闭塞图包括表示场景中未被占用对象的未被占领区域的源节点。 将与未被占领区域相关联的轮廓与对象的一组轮廓进行比较，其中每个轮廓具有已知姿势。 选择最佳匹配轮廓的已知姿势作为未被占用对象的姿势。

公开(公告)号：US20070258707A1

公开(公告)日：2007-11-08

申请号：US11430233

申请日：2006-05-08

Applicant: Ramesh Raskar

Inventor： Ramesh Raskar

IPC: G03B17/00

CPC classification number: G03B17/00 ,  G06T5/003 ,  H04N5/23248 ,  H04N5/23258 ,  H04N5/2329 ,  H04N5/2353

Abstract: A method and system deblurs images acquired of a scene by a camera. A light field acquired of a scene is modulated temporally according to a sequence of ons and offs. The modulated light field is integrated by a sensor of a camera during an exposure time to generate an encoded input image. The encoded input image is decoded according to a pseudo-inverse of a smearing matrix to produce a decoded output image having a reduced blur.

Abstract translation: 方法和系统通过照相机去除场景获取的图像。 场景获取的光场根据亮度和亮度的顺序进行时间调制。 调制光场在曝光时间期间由相机的传感器集成以产生编码的输入图像。 编码的输入图像根据拖尾矩阵的伪逆解码，以产生具有减小的模糊的解码输出图像。

公开(公告)号：US07206449B2

公开(公告)日：2007-04-17

申请号：US10391999

申请日：2003-03-19

Applicant: Ramesh Raskar ,  Jingyi Yu

Inventor： Ramesh Raskar ,  Jingyi Yu

IPC: G06K9/36 ,  G06K9/46 ,  G06K9/48 ,  G06K9/66 ,  G06T15/50 ,  G06T15/60

CPC classification number: G06T5/50 ,  G06T11/00 ,  G06T2207/10152 ,  G06T2207/20192

Abstract: A method detects silhouette edges in images. An ambient image is acquired of a scene with ambient light. A set of illuminated images is also acquired of the scene. Each illuminated image is acquired with a different light source illuminating the scene. The ambient image is combined with the set of illuminated to detect cast shadows, and silhouette edge pixels are located from the cast shadows.

Abstract translation: 一种方法检测图像中的轮廓边缘。 用环境光获取场景的环境图像。 还拍摄了一组照明图像。 用照亮场景的不同光源获取每个照明图像。 环境图像与照明的组合组合以检测投射阴影，并且轮廓边缘像素位于投射阴影处。

公开(公告)号：US20070025717A1

公开(公告)日：2007-02-01

申请号：US11191877

申请日：2005-07-28

Applicant: Ramesh Raskar ,  Amit Agrawal ,  Shree Nayar ,  Yuanzhen Li

Inventor： Ramesh Raskar ,  Amit Agrawal ,  Shree Nayar ,  Yuanzhen Li

IPC: G03B15/03

CPC classification number: G06T5/50 ,  G03B15/03 ,  H04N5/2354 ,  H04N5/2355

Abstract: A method generates a high dynamic range image by first acquiring a set of images of a scene illuminated by different lighting conditions. The set of images are then combined to generate a high dynamic range image.

Abstract translation: 一种方法通过首先获得由不同照明条件照亮的场景的一组图像来产生高动态范围图像。 然后将该组图像组合以产生高动态范围图像。

公开(公告)号：US20070024742A1

公开(公告)日：2007-02-01

申请号：US11191809

申请日：2005-07-28

Applicant: Ramesh Raskar ,  Amit Agrawal

Inventor： Ramesh Raskar ,  Amit Agrawal

IPC: H04N5/222

CPC classification number: H04N5/2352 ,  H04N5/2355

Abstract: A method and system generate an enhanced output image. A first image is acquired of a scene illuminated by a first illumination condition. A second image is acquired of the scene illuminated by a second illumination condition. First and second gradient images are determined from the first and second images. Orientations of gradients in the first and second gradient images are compared to produce a combined gradient image, and an enhanced output image is constructed from the combined gradient image.

Abstract translation: 方法和系统生成增强的输出图像。 获取由第一照明条件照亮的场景的第一图像。 获取由第二照明条件照亮的场景的第二图像。 从第一和第二图像确定第一和第二梯度图像。 将第一和第二梯度图像中的梯度的方向进行比较以产生组合的梯度图像，并且从组合的梯度图像构建增强的输出图像。

公开(公告)号：US07103227B2

公开(公告)日：2006-09-05

申请号：US10392429

申请日：2003-03-19

Applicant: Ramesh Raskar ,  Adrian Ilie ,  Jingi Yu

Inventor： Ramesh Raskar ,  Adrian Ilie ,  Jingi Yu

IPC: G06K9/40 ,  G06K9/68 ,  G06K9/00

CPC classification number: G06T5/20 ,  G06T5/002 ,  G06T5/003 ,  G06T5/50 ,  G06T7/12 ,  G06T7/174 ,  G06T11/00 ,  G06T15/02 ,  G06T2207/20192

Abstract: A method enhances images of a naturally illuminated scene. First, a set of images Ii(x, y) is acquired of a scene. Each image is acquired under a different uncontrolled illumination. For each image Ii(x, y), intensity gradients ∇Ii(x, y) are determined, and each image is weighted with weights according to the intensity gradients. The weighted images are then combined to construct an enhanced image I′.

Abstract translation: 一种方法可以增强自然照明场景的图像。 首先，获取场景的一组图像I （x，y）。 每个图像在不同的不受控照明下被采集。 对于每个图像，我确定（x，y），强度梯度ξI（x，y），并且根据强度梯度对每个图像进行权重加权 。 然后将加权图像组合以构建增强图像I'。

公开(公告)号：US07102638B2

公开(公告)日：2006-09-05

申请号：US10392000

申请日：2003-03-19

Applicant: Ramesh Raskar ,  Jingyi Yu ,  Adrian Ilie

Inventor： Ramesh Raskar ,  Jingyi Yu ,  Adrian Ilie

IPC: G09G5/02

CPC classification number: G06T11/00 ,  G06T15/02

Abstract: A method generates an image with de-emphasized textures. Each pixel in the image is classified as either a silhouette edge pixel, a texture edge pixels, or a featureless pixel. A mask image M(x, y) is generated, wherein an intensity of a given pixel (x, y) in the mask image M(x, y) is zero if the pixel (x, y) is classified as the texture edge pixel, is d(x, y) if the pixel (x, y) is classified as the featureless pixel, and is one if the pixel (x, y) is classified as the silhouette edge pixel. An intensity gradient ∇I(x, y) is determined in the masked image, and the intensity gradients in the masked image are integrated according to G(x, y)=∇I(x, y). M(x, y). Then, an output image I′ is generated by minimizing |∇I′−G|, and normalizing the intensities in the output image I′.

Abstract translation: 方法生成具有去加重纹理的图像。 图像中的每个像素被分类为轮廓边缘像素，纹理边缘像素或无特征像素。 生成掩模图像M（x，y），其中如果像素（x，y）被分类为纹理边缘，则掩模图像M（x，y）中的给定像素（x，y）的强度为零 像素，如果像素（x，y）被分类为无特征像素，则为d（x，y），并且如果像素（x，y）被分类为轮廓边缘像素则为像素（x，y）。 在掩蔽图像中确定强度梯度∇I（x，y），并根据G（x，y）=∇I（x，y）将屏蔽图像中的强度梯度积分。 M（x，y）。 然后，通过最小化|∇I'-G |并且使输出图像I'的强度标准化来生成输出图像I'。

公开(公告)号：US07038185B1

公开(公告)日：2006-05-02

申请号：US11001396

申请日：2004-12-01

Applicant: Jack Tumblin ,  Amit Agrawal ,  Ramesh Raskar

Inventor： Jack Tumblin ,  Amit Agrawal ,  Ramesh Raskar

IPC: H01L27/00 ,  G01J1/42

CPC classification number: H04N5/355 ,  H04N5/2355 ,  H04N5/2621 ,  H04N5/335

Abstract: A camera includes a set of sensing elements. Each sensing element is arranged at an image plane in an energy field to measure a magnitude and sign of a local gradient of the energy field. Each sensing element includes at least two energy intensity sensors. Each energy sensor measures a local intensity of the energy field. Logarithms of the intensities are subtracted from each other to obtain the magnitude and sign of the gradients. A Poisson equation is solved using the gradients to obtain an output image of the energy field.

Abstract translation: 相机包括一组感测元件。 每个感测元件被布置在能量场中的图像平面处，以测量能量场的局部梯度的幅度和符号。 每个感测元件包括至少两个能量强度传感器。 每个能量传感器测量能量场的局部强度。 将对数的对数减去彼此以获得幅度和符号的梯度。 使用梯度求解泊松方程，得到能量场的输出图像。