公开(公告)号：US08723969B2

公开(公告)日：2014-05-13

申请号：US11688263

申请日：2007-03-20

Applicant: Shashank Garg ,  Vinayak Pore ,  Ashish Thakur ,  Shang-Hung Lin

Inventor： Shashank Garg ,  Vinayak Pore ,  Ashish Thakur ,  Shang-Hung Lin

IPC: H04N5/228

CPC classification number: H04N5/23248 ,  H04N5/23254 ,  H04N5/23267

Abstract: An image processor in an image capture device compensates for the effects of undesirable camera shakes occurring during video capture The image processor receives a pair of source frames representing images of a scene, generates a pair of subsampled frames from the source frames, and computes a coarse displacement of the captured image due to camera shakes by comparing the two subsampled frames. The image processor may then refine the determined coarse displacement by comparing the two source frames and a bound determined by an extent of subsampling, and compensate for the displacement accordingly. Display aberrations such as blank spaces caused due to shifting are also avoided by displaying only a portion of the captured image and shifting the displayed portion to compensate for camera shake. The image processor also recognizes displacements due to intentional camera movement, and does not correct for such displacements.

Abstract translation: 图像捕获设备中的图像处理器补偿在视频捕获期间发生的不期望的相机抖动的影响图像处理器接收表示场景图像的一对源帧，从源帧生成一对子采样帧，并且计算粗略 通过比较两个子采样帧，由于相机摇动而捕获的图像的位移。 然后，图像处理器可以通过比较两个源帧和由子采样程度确定的边界来细化所确定的粗略位移，并相应地补偿位移。 通过仅显示拍摄图像的一部分并移动显示部分以补偿相机抖动也可以避免诸如由于移位引起的空白空间等显示像差。 图像处理器还识别由于有意摄像机运动引起的位移，并且对于这种位移不能校正。

公开(公告)号：US08326533B2

公开(公告)日：2012-12-04

申请号：US12691710

申请日：2010-01-21

Applicant: David Sachs ,  Shang-Hung Lin

Inventor： David Sachs ,  Shang-Hung Lin

IPC: G01C17/38 ,  G01C19/00 ,  G01P21/00

CPC classification number: G01C25/005 ,  G01C17/38 ,  G01C19/00

Abstract: Techniques for estimating compass and gyroscope biases for handheld devices are disclosed. The compass bias can be determined by causing a small movement of the handheld device and comparing the data obtained from the compass with the data obtained from the gyroscope. The gyroscope bias can be determined by obtaining a quaternion based angular velocity term of the handheld device when the accelerometer and compass data are reliable, and then comparing the angular velocity term with the gyro data to estimate the gyro bias. When the compass and/or the accelerometer data are unreliable, a previously determined quaternion angular velocity term is used. The gyroscope bias can also be determined by measuring gyroscope biases at various temperatures in a non-factory setting, storing the data in a memory, and using the data to estimate gyro biases when the accelerometer and/or the compass data are unreliable.

Abstract translation: 公开了用于估计手持设备的罗盘和陀螺仪偏差的技术。 可以通过使手持设备的小的移动和从罗盘得到的数据与从陀螺仪获得的数据进行比较来确定罗盘偏差。 当加速度计和罗盘数据可靠时，可以通过获得手持设备的基于四元数的角速度项来确定陀螺仪偏差，然后将角速度项与陀螺仪数据进行比较以估计陀螺仪偏差。 当罗盘和/或加速度计数据不可靠时，使用先前确定的四元数角速度项。 也可以通过在非出厂设置中将各种温度的陀螺仪偏差测量到陀螺仪偏差，将数据存储在存储器中，并且当加速度计和/或罗盘数据不可靠时使用该数据来估计陀螺仪偏差。

公开(公告)号：US08170408B2

公开(公告)日：2012-05-01

申请号：US12726244

申请日：2010-03-17

Applicant: Steven S. Nasiri ,  Mansur Kiadeh ,  Yuan Zheng ,  Shang-Hung Lin ,  Sheena Shi

Inventor： Steven S. Nasiri ,  Mansur Kiadeh ,  Yuan Zheng ,  Shang-Hung Lin ,  Sheena Shi

IPC: G03B17/00

CPC classification number: G03B17/00

Abstract: An optical image stabilization system for a camera module is disclosed. The stabilization system comprises a voice coil motor (VCM), at least one digital gyroscope for receiving signals from the VCM, and an angular velocity sensor for receiving signals from the digital gyroscope and outputting an angular position error signal. The stabilization system further comprises signal processing logic for receiving the error signal, and comparing the error signal to a reference signal and providing a stabilized image based upon that comparison, wherein the hard-coded logic, digital gyroscope and rate and position sensor resides on the same chip.

Abstract translation: 公开了一种用于相机模块的光学图像稳定系统。 稳定系统包括音圈电机（VCM），用于接收来自VCM的信号的至少一个数字陀螺仪和用于从数字陀螺仪接收信号并输出​​角位置误差信号的角速度传感器。 稳定系统还包括用于接收误差信号的信号处理逻辑，以及将误差信号与参考信号进行比较并基于该比较提供稳定图像，其中硬编码逻辑，数字陀螺仪和速率和位置传感器位于 相同的芯片

公开(公告)号：US20100103310A1

公开(公告)日：2010-04-29

申请号：US12649888

申请日：2009-12-30

Applicant: Shang-Hung Lin ,  Hu He ,  Ignatius B. Tjandrasuwita

Inventor： Shang-Hung Lin ,  Hu He ,  Ignatius B. Tjandrasuwita

IPC: H04N5/243

CPC classification number: H04N5/235 ,  H04N5/2357

Abstract: A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.

Abstract translation: 提出了一种闪烁带自动检测系统和方法。 在一个实施例中，附带的运动缓解曝光设置方法包括接收图像输入信息; 执行减轻闪烁带自动检测过程的运动; 并根据运动结果缓冲闪烁频带自动检测过程实现曝光设置。 自动闪烁频带检测处理包括对照明强度指示进行运动减轻处理。 对运动减轻照明强度指示的内容影响最小化。 运动减轻照明强度指示被二值化。 建立运动减轻照明强度与参考照明强度频率的相关性。

公开(公告)号：US20090168887A1

公开(公告)日：2009-07-02

申请号：US12321026

申请日：2009-01-12

Applicant: Shang-Hung Lin

Inventor： Shang-Hung Lin

IPC: H04N7/26

CPC classification number: H04N19/14 ,  H04N19/523 ,  H04N19/533

Abstract: A novel Lucas-Kanade sub-pixel motion estimation method is provided. The motion estimation algorithm enables the estimating of a motion vector with reduced computation cost while maintaining high sub-pixel accuracy. The novel algorithm consists of two processing stages. In the first stage, a conventional motion estimation method is applied to obtain the motion vector at integer-pixel level. In the second stage, the Lucas-Kanade algorithm is applied to improve the motion vector to sub-pixel accuracy based on gradient information. Experimental result shows that the proposed method reaches comparable PSNR performance as conventional ⅛-pel algorithm but with significant saving on computation cost.

Abstract translation: 提供了一种新颖的Lucas-Kanade子像素运动估计方法。 运动估计算法能够以较低的子像素精度保持较低的计算成本来估计运动矢量。 该算法由两个处理阶段组成。 在第一阶段，应用常规的运动估计方法来获得整数像素级的运动矢量。 在第二阶段，应用Lucas-Kanade算法，以基于梯度信息将运动矢量改进为子像素精度。 实验结果表明，所提出的方法与传统的1/8像素算法相比具有可比的PSNR性能，但节省了计算成本。

公开(公告)号：US06763127B1

公开(公告)日：2004-07-13

申请号：US09680999

申请日：2000-10-06

Applicant: Shang-Hung Lin ,  Hung-Min Jen

Inventor： Shang-Hung Lin ,  Hung-Min Jen

IPC: G06K900

CPC classification number: G06K9/00067 ,  G06K9/00087

Abstract: A fingerprint recognition method includes iterative gamma correction that compensates moisture effect, feature extraction operations, directional morphological filtering that effectively links broken ridges and breaks smeared ridges, adaptive image alignment by local minutia matching, global matching by relaxed rigid transform, and statistical matching with Gaussian weighting functions.

Abstract translation: 指纹识别方法包括补偿水分效应，特征提取操作，有效链接破碎脊和断裂纹脊的定向形态滤波，局部细节匹配的自适应图像对齐，宽松刚体变换的全局匹配以及高斯统计匹配的迭代伽马校正 加权函数。

公开(公告)号：US6108437A

公开(公告)日：2000-08-22

申请号：US26970

申请日：1998-02-20

Applicant: Shang-Hung Lin

Inventor： Shang-Hung Lin

IPC: G06K9/00

CPC classification number: G06K9/00221

Abstract: A face recognition system is provided comprising an input process or circuit, such as a video camera for generating an image of a person. A face detector process or circuit determines if a face is present in a image. A face position registration process or circuit determines a position of the face in the image if the face detector process or circuit determines that the face is present. A feature extractor process or circuit is provided for extracting at least two facial features from the face. A voting process or circuit compares the extractor facial features with a database of extracted facial features to identify the face.

Abstract translation: 提供一种面部识别系统，其包括输入处理或电路，诸如用于产生人物图像的摄像机。 脸部检测器处理或电路确定脸部是否存在于图像中。 如果面部检测器处理或电路确定脸部存在，则脸部位置登记处理或电路确定脸部在图像中的位置。 提供特征提取器处理或电路用于从脸部提取至少两个面部特征。 投票过程或电路将提取器面部特征与提取的面部特征的数据库进行比较，以识别脸部。

公开(公告)号：US06044178A

公开(公告)日：2000-03-28

申请号：US38356

申请日：1998-03-10

Applicant: Shang-Hung Lin

Inventor： Shang-Hung Lin

IPC: H04N1/393 ,  G06T3/40 ,  G06T5/00 ,  G06K9/40 ,  G06K9/44

CPC classification number: G06T3/40

Abstract: A source image containing both relatively low frequency information (i.e. graphics, pictures and background) and relatively high frequency information (i.e. text) are input to an image processing unit. This image processing unit can be embodied in functional units of an output device such as an LCD projector or may be part of a personal computer connected to the output device, or may even be part of an input device that provides the source image. The source image will be in one resolution and the output device will have a different, generally lower, resolution. The source image is segmented into a black text image and a white text image (i.e. portions of the source image formed as image blocks or tiles). The black text image and the white text image are then subtracted from the source image to form a background image. Then, the background image, the black text image and the white text image are filtered separately using different filters for each. The filtered or down-sampled images are then merged. This merged image can then be projection enlarged, in the example wherein the output device is an LCD projector, or printed or displayed in the examples wherein the output device is a printer or CRT, respectively. The filter for the background image is preferably a gaussian filter and the filters for the black text image and the white text images are preferably a combination of a gaussian filter (having different filter coefficients than the filter for the background image) and a sigmoid filter.

Abstract translation: 包含相对低频信息（即图形，图片和背景）和相对高频率信息（即文本）的源图像被输入到图像处理单元。 该图像处理单元可以体现在诸如LCD投影仪的输出设备的功能单元中，或者可以是连接到输出设备的个人计算机的一部分，或甚至可以是提供源图像的输入设备的一部分。 源图像将处于一个分辨率，并且输出设备将具有不同的，通常较低的分辨率。 源图像被分割为黑色文本图像和白色文本图像（即源图像的部分形成为图像块或瓦片）。 然后从源图像中减去黑色文本图像和白色文字图像以形成背景图像。 然后，使用不同的过滤器分别对背景图像，黑色文本图像和白色文本图像进行过滤。 然后合并滤波或下采样图像。 然后，在合并后的图像中，输出装置是LCD投影仪，或者在输出装置分别是打印机或CRT的例子中印刷或显示的例子中可以进行投影放大。 用于背景图像的滤波器优选地是高斯滤波器，并且用于黑色文本图像和白色文本图像的滤波器优选地是高斯滤波器（具有与背景图像的滤波器不同的滤波器系数）和S形滤波器的组合。

公开(公告)号：US09177368B2

公开(公告)日：2015-11-03

申请号：US12002562

申请日：2007-12-17

Applicant: Brian K. Cabral ,  Shang-Hung Lin ,  Ignatius Tjandrasuwita

Inventor： Brian K. Cabral ,  Shang-Hung Lin ,  Ignatius Tjandrasuwita

IPC: G06K9/40 ,  G09G5/00 ,  G06T1/00 ,  G06T15/00 ,  G06T15/50 ,  G06T15/60 ,  G06T5/00

CPC classification number: G06T5/006

Abstract: Methods and systems for reducing or eliminating distortion in an image are described. The approach generally involves determining the distortion introduced by a lens, and modifying a captured image to reduce that distortion. In one embodiment, the distortion information associated with a lens is determined. The distortion information is stored. A captured image taken by that lens is processed, with reference to the distortion information.

公开(公告)号：US09144735B2

公开(公告)日：2015-09-29

申请号：US12832707

申请日：2010-07-08

Applicant: Steve Nasiri ,  David Sachs ,  Alex Castro ,  Richard Li ,  Anjia Gu ,  Shang-Hung Lin ,  Takashi Nakayama

Inventor： Steve Nasiri ,  David Sachs ,  Alex Castro ,  Richard Li ,  Anjia Gu ,  Shang-Hung Lin ,  Takashi Nakayama

IPC: G05B23/00 ,  A63F13/20 ,  G06F1/16 ,  G06F3/01 ,  G06F3/0346 ,  G06F3/038 ,  G06F21/32 ,  H04M1/725

Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.