公开(公告)号：US20130279762A1

公开(公告)日：2013-10-24

申请号：US13869656

申请日：2013-04-24

Applicant: STMICROELECTRONICS S.R.I.

Inventor： Danilo Pietro Pau ,  Paolo Pasteris ,  Mirko Falchetto

IPC: G06T7/20

CPC classification number: G06K9/6228 ,  G06K9/32 ,  G06K9/46 ,  G06K2009/363 ,  G06T7/33 ,  G06T7/337 ,  H04N19/57

Abstract: Image-processing apparatus and methods to adaptively control a size and/or location of a visual search window used for feature matching in a machine-vision system are described. A search window controller may receive motion vector data and image recognition rate data, and compute a search window size and/or search window location based on the received data. The computed search window size may be a portion of an image frame. The motion vector data and image recognition rate data may be computed from one or more images in a video image sequence. By adaptively controlling search window size and location, an appreciable reduction in data processing burden for feature matching may be achieved.

Abstract translation: 描述了在机器视觉系统中自适应地控制用于特征匹配的视觉搜索窗口的尺寸和/或位置的图像处理设备和方法。 搜索窗口控制器可以接收运动矢量数据和图像识别率数据，并且基于接收到的数据来计算搜索窗口大小和/或搜索窗口位置。 所计算的搜索窗口大小可以是图像帧的一部分。 可以从视频图像序列中的一个或多个图像计算运动矢量数据和图像识别率数据。 通过自适应地控制搜索窗口大小和位置，可以实现特征匹配的数据处理负担的明显降低。

公开(公告)号：US20130279751A1

公开(公告)日：2013-10-24

申请号：US13869639

申请日：2013-04-24

Applicant: STMICROELECTRONICS S.R.I.

Inventor： Arcangelo Ranieri Bruna ,  Danilo Pietro Pau

IPC: G06K9/62

Abstract: Apparatus and methods to unwarp at least portions of distorted, electronically-captured images are described. Keypoints, instead of an entire image, may be unwarped and used in various machine-vision algorithms, such as object recognition, image matching, and 3D reconstruction algorithms. When using unwarped keypoints, the machine-vision algorithms may perform reliably irrespective of distortions that may be introduced by one or more image capture systems.

Abstract translation: 描述了至少部分失真的电子捕获图像的装置和方法。 关键点，而不是整个图像，可能被不必要地使用在各种机器视觉算法，如对象识别，图像匹配和3D重建算法。 当使用不相关的关键点时，机器视觉算法可以可靠地执行，而不管可能由一个或多个图像捕获系统引入的失真。

公开(公告)号：US20130279813A1

公开(公告)日：2013-10-24

申请号：US13869652

申请日：2013-04-24

Applicant: STMICROELECTRONICS S.R.I.

Inventor： Danilo Pietro Pau ,  Mirko Falchetto

IPC: G06K9/46

CPC classification number: G06K9/6228 ,  G06K9/32 ,  G06K9/46 ,  G06K2009/363 ,  G06T7/33 ,  G06T7/337 ,  H04N19/57

Abstract: Image-processing apparatus and methods to adaptively vary an interest point threshold value and control a number of interest points identified in an image frame are described. Sub-regions of an image frame may be processed in a sequence, and an interest point threshold value calculated for each sub-region. The calculated value of the interest point threshold may depend upon pre-selected values and values determined from the processing of one or more prior sub-regions. By using adaptive thresholding, a number of interest points detected for each frame in a sequence of image frames may remain substantially constant, even though objects within the frames may vary appreciably.

Abstract translation: 描述用于自适应地改变兴趣点阈值并控制在图像帧中识别的兴趣点数量的图像处理装置和方法。 图像帧的子区域可以按顺序处理，并且为每个子区域计算出的兴趣点阈值。 所计算的兴趣点阈值可以取决于从一个或多个先前子区域的处理确定的预先选择的值和值。 通过使用自适应阈值处理，对于图像帧序列中的每个帧检测的多个感兴趣点可以保持基本上恒定，即使帧内的对象可能明显变化。

公开(公告)号：US20150103199A1

公开(公告)日：2015-04-16

申请号：US14516310

申请日：2014-10-16

Applicant: STMicroelectronics S.r.I.

Inventor： Danilo Pietro Pau

IPC: G06K9/46 ,  G06T7/00 ,  G06K9/62

CPC classification number: G06K9/4647 ,  G06K9/4671 ,  G06K9/6212 ,  G06T7/97 ,  G06T2207/10004 ,  G06T2207/20021 ,  G06T2207/20024 ,  G06T2207/20076

Abstract: Compact descriptors of digital images are produced by detecting interest points representative of the digital images and selecting out of the interest points key points for producing e.g. local and global compact descriptors of the images. The digital images are decomposed into blocks by computing an energy (variance) for each said block and then subjecting the blocks to culling by rejecting those blocks having an energy failing to pass an energy threshold. The interest points are detected only in the blocks resulting from culling, and the key points for producing the compact descriptors are selected out of the interest points thus detected, possibly by using different selection thresholds for local and global compact descriptors, respectively. The number of key points for producing the compact descriptors may be varied e.g. by adaptively varying the number of the interest points detected in the blocks resulting from culling.

Abstract translation: 通过检测表示数字图像的兴趣点并选择兴趣点的关键点来产生数字图像的紧凑描述符，以产生例如数字图像。 本地和全局紧凑的图像描述符。 通过计算每个所述块的能量（方差），然后通过拒绝具有能量未能通过能量阈值的能量块来对数字图像分解成块。 仅在由剔除产生的块中检测到兴趣点，并且可能通过分别对于本地和全局紧凑描述符使用不同的选择阈值，从所检测的兴趣点中选出用于产生紧凑描述符的关键点。 用于生成紧凑描述符的关键点的数量可以是变化的。 通过自适应地改变在淘汰中产生的块中检测到的兴趣点的数量。