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公开(公告)号：US10718620B2
公开(公告)日：2020-07-21
申请号：US15851085
申请日：2017-12-21
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Ming-Xuan Wu , Yu-Yin Peng , Pin-Yung Chen , Che-Tsung Lin , Kang Li
Abstract: A navigation and positioning device including a storage, a mark feature analyzer, a first coordinate fusion component and a second coordinate fusion component is provided. The storage stores map information including a traffic mark feature and its mark coordinate. The mark feature analyzer is used for analyzing whether a captured image has the traffic mark feature. When the captured image has the traffic mark feature, the mark feature analyzer analyzes the traffic mark feature in the captured image and calculates a device coordinate according to the mark coordinate. The first coordinate fusion component fuses the device coordinate and a first fusion coordinate and uses fused coordinate as a second fusion coordinate. The second coordinate fusion component fuses the second fusion coordinate, traffic carrier inertial information and a global positioning coordinate and uses fused coordinate as an updated first fusion coordinate.
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公开(公告)号：US10192287B2
公开(公告)日：2019-01-29
申请号：US15388124
申请日：2016-12-22
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Sheng-Wei Chan , Che-Tsung Lin
Abstract: An image processing method is adapted to process images captured by at least two cameras in an image system. In an embodiment, the image processing method comprises: matching two corresponding feature points for two images, respectively, to become a feature point set; selecting at least five most suitable feature point sets, by using an iterative algorithm; calculating a most suitable radial distortion homography between the two images, according to the at least five most suitable feature point sets; and fusing the images captured by the at least two cameras at each of timing sequences, by using the most suitable radial distortion homography.
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公开(公告)号：US10803355B2
公开(公告)日：2020-10-13
申请号：US16231669
申请日：2018-12-24
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Che-Tsung Lin
Abstract: A method for training an image generator includes multiple iterations, each including: inputting a real image the a first generator; generating a generated image by an image transformation branch of the first generator; inputting the generated image to a discriminator; obtaining a loss value from the discriminator; generating a segmented image by an image segmentation branch of the first generator; obtaining a segmentation loss value according to the segmented image; inputting the generated image to a second generator; generating a reconstructed image by the second generator; and obtaining a reconstruction loss value according to the reconstructed and the real images. Difference in network weights of the image transformation and segmentation branches is compared to obtain a similarity loss value. Network parameters of the first and the second generators are updated according to the loss value, the segmentation loss value, the reconstruction loss value and the similarity loss value.
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公开(公告)号：US10037597B2
公开(公告)日：2018-07-31
申请号：US14982775
申请日：2015-12-29
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Sheng-Wei Chan , Che-Tsung Lin
IPC: B60R11/04 , B60S1/08 , G06T3/40 , G06T5/00 , G06T5/30 , G06T5/40 , G06T7/00 , H04N5/217 , H04N5/225 , H04N5/247
CPC classification number: G06T5/005 , G06T5/002 , G06T2207/10021 , G06T2207/10024 , G06T2207/20224 , G06T2207/30252 , H04N5/217 , H04N5/2171 , H04N5/2257 , H04N5/247
Abstract: An image inpainting method includes the following steps: segmenting image, acquiring a plurality of images, and having the plurality of images segment into noise-contained pixel images and non-noise-contained pixel images, and confirming the positions of every noise pixel of the noise pixel image; and performing inpainting in light of the noise-contained pixel images, finding out the offset map and geometric relationship of the pixel corresponding relationship without being subjected to the affection of noise and having the pixel corresponding relationship with minimum parallax, making use of the offset map or the geometric relationship to extract corresponding pixel that is not subjected to the affection of noise, performing inpainting and substituting the noise pixel in the plurality of images to generate at least a synthetic image without containing noise.
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Patent Agency Ranking
公开(公告)号：US09311818B2
公开(公告)日：2016-04-12
申请号：US14158224
申请日：2014-01-17
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Che-Tsung Lin , Yu-Chen Lin
CPC classification number: G08G1/166 , B60R1/00 , B60R2300/50 , G06K9/00791 , G06T7/337 , G06T19/00 , G06T2207/20221 , G06T2207/30252 , G06T2210/62 , G08G1/161 , G08G1/167
Abstract: A dynamic fusion method of images includes: receiving broadcast information from surrounding vehicles of a host vehicle; determining whether at least one of the surrounding vehicles travels in the same lane as the host vehicle to become a neighboring vehicle of the host vehicle according to the broadcast information; determining whether the neighboring vehicle is too close to the host vehicle and blocks the view of the host vehicle; and performing a transparentization or translucentization process on the neighboring vehicle in an image captured by the host vehicle when the neighboring vehicle blocks the view of the host vehicle.
Abstract translation: 图像的动态融合方法包括：从主车辆的周围车辆接收广播信息; 根据所述广播信息确定所述周围车辆中的至少一个是否在与所述主车辆相同的车道中行驶以成为所述主车辆的相邻车辆; 确定所述相邻车辆是否太靠近所述主车辆并阻挡所述主车辆的视野; 以及当所述相邻车辆阻挡所述主车辆的视野时，在由所述主车辆捕获的图像中对所述相邻车辆执行透明化或半透明化处理。
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公开(公告)号：US09224052B2
公开(公告)日：2015-12-29
申请号：US14064706
申请日：2013-10-28
Applicant: Industrial Technology Research Institute
Inventor： Che-Tsung Lin , Yu-Chen Lin
CPC classification number: G06K9/00791 , G06T5/005 , G06T5/50 , G06T7/194 , G06T2207/10016 , G06T2207/20224 , G06T2207/30252
Abstract: A method for in-image periodic noise pixel inpainting is provided. It is determined whether a current frame includes periodic noise pixels, and locations of periodic noise pixels are identified. Non-periodic-noise pixels in a reference frame are utilized to inpaint the periodic noise pixels in the current frame.
Abstract translation: 提供了一种用于图像内周期噪声像素修复的方法。 确定当前帧是否包括周期性噪声像素，并且识别周期性噪声像素的位置。 利用参考帧中的非周期噪声像素来对当前帧中的周期噪声像素进行滤除。
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7.发明授权Surrounding bird view monitoring image generation method and training method, automobile-side device, and training device thereof 有权周边鸟瞰监视图像生成方法和训练方法，汽车侧装置及其训练装置公开(公告)号：US09082315B2
公开(公告)日：2015-07-14
申请号：US13706432
申请日：2012-12-06
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Yu-Chen Lin , Che-Tsung Lin , Ming-Jen Tu , Li-Fen Liu , Hsin-Liang Shen
CPC classification number: G09B19/167 , G09B9/042 , G09B9/052
Abstract: A surrounding bird view image generation method for use in an automobile-side device of an articulated vehicle is provided. The articulated vehicle includes a first body part, a second body part and a connection part. The proceeding directions of the first and the second body parts form an angle. The image processing method includes the steps of: storing an angle-to-surrounding-image model table; detecting an angle and providing an angle measurement; accessing the angle-to-surrounding-image model table to obtain a selected angle and a selected surrounding image model corresponding to the angle measurement; capturing 6 adjacent images corresponding to the surrounding of the vehicle body by the image capturers disposed on the 6 surrounding sides of the articulated vehicle; obtaining a practical operating surrounding image by processing the first to the sixth images with the selected surrounding image model.
Abstract translation: 提供了一种用于铰接式车辆的汽车侧装置的周围鸟瞰图生成方法。 铰接车辆包括第一主体部分，第二主体部分和连接部分。 第一和第二主体部件的行进方向形成一个角度。 图像处理方法包括以下步骤：存储角度对周围图像模型表; 检测角度并提供角度测量; 访问角度到周围图像模型表以获得与角度测量相对应的选定角度和选择的周围图像模型; 通过设置在铰接车辆的6个周围侧的图像捕获器捕获与车体周围对应的6个相邻图像; 通过利用选择的周围图像模型处理第一至第六图像来获得实际操作的周围图像。
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公开(公告)号：US09734427B2
公开(公告)日：2017-08-15
申请号：US14586715
申请日：2014-12-30
Applicant: Industrial Technology Research Institute
Inventor： Che-Tsung Lin , Yu-Chen Lin
CPC classification number: G06K9/6202 , G06K9/52 , G06K9/6211 , G06T3/4038 , H04N5/23238 , H04N5/247 , H04N7/181
Abstract: Surveillance systems with a plurality of cameras and image processing method thereof are provided. Based on a plurality of images captured by the plurality of cameras, some of the images are translucentized with other images and the other images are stitched with each other according to the space geometrical relations of cameras. The benefit of the surveillance system is that monitoring the field surveilled by each camera is no longer necessary to watch each image separately.
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9.发明申请SURROUNDING BIRD VIEW MONITORING IMAGE GENERATION METHOD AND TRAINING METHOD, AUTOMOBILE-SIDE DEVICE, AND TRAINING DEVICE THEREOF 有权周边三维视图监控图像生成方法和训练方法，汽车侧设备及其训练装置公开(公告)号：US20130236858A1
公开(公告)日：2013-09-12
申请号：US13706432
申请日：2012-12-06
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Yu-Chen Lin , Che-Tsung Lin , Ming-Jen Tu , Li-Fen Liu , Hsin-Liang Shen
IPC: G09B19/16
CPC classification number: G09B19/167 , G09B9/042 , G09B9/052
Abstract: A surrounding bird view image generation method for use in an automobile-side device of an articulated vehicle is provided. The articulated vehicle includes a first body part, a second body part and a connection part. The proceeding directions of the first and the second body parts form an angle. The image processing method includes the steps of: storing an angle-to-surrounding-image model table; detecting an angle and providing an angle measurement; accessing the angle-to-surrounding-image model table to obtain a selected angle and a selected surrounding image model corresponding to the angle measurement; capturing 6 adjacent images corresponding to the surrounding of the vehicle body by the image capturers disposed on the 6 surrounding sides of the articulated vehicle; obtaining a practical operating surrounding image by processing the first to the sixth images with the selected surrounding image model.
Abstract translation: 提供了一种用于铰接式车辆的汽车侧装置的周围鸟瞰图生成方法。 铰接车辆包括第一主体部分，第二主体部分和连接部分。 第一和第二主体部件的行进方向形成一个角度。 图像处理方法包括以下步骤：存储角度对周围图像模型表; 检测角度并提供角度测量; 访问角度到周围图像模型表以获得与角度测量相对应的选定角度和选择的周围图像模型; 通过设置在铰接车辆的6个周围侧的图像捕获器捕获与车体周围对应的6个相邻图像; 通过利用选择的周围图像模型处理第一至第六图像来获得实际操作的周围图像。
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