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公开(公告)号：US09971959B2
公开(公告)日：2018-05-15
申请号：US14029640
申请日：2013-09-17
Applicant: NVIDIA CORPORATION
Inventor： Mateusz Jerzy Baranowski , Shalini Gupta , Elif Albuz
CPC classification number: G06K9/6285 , G06K9/00986 , G06K9/6256 , G06K9/6282
Abstract: In one embodiment of the present invention, a graphics processing unit (GPU) is configured to detect an object in an image using a random forest classifier that includes multiple, identically structured decision trees. Notably, the application of each of the decision trees is independent of the application of the other decision trees. In operation, the GPU partitions the image into subsets of pixels, and associates an execution thread with each of the pixels in the subset of pixels. The GPU then causes each of the execution threads to apply the random forest classifier to the associated pixel, thereby determining a likelihood that the pixel corresponds to the object. Advantageously, such a distributed approach to object detection more fully leverages the parallel architecture of the parallel processing unit (PPU) than conventional approaches. In particular, the PPU performs object detection more efficiently using the random forest classifier than using a cascaded classifier.
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公开(公告)号：US09747527B2
公开(公告)日：2017-08-29
申请号：US14029633
申请日：2013-09-17
Applicant: NVIDIA CORPORATION
Inventor： Mateusz Jerzy Baranowski , Shalini Gupta , Elif Albuz
CPC classification number: G06K9/6285 , G06K9/00986 , G06K9/6256 , G06K9/6282
Abstract: In one embodiment of the present invention, a graphics processing unit (GPU) is configured to detect an object in an image using a random forest classifier that includes multiple, identically structured decision trees. Notably, the application of each of the decision trees is independent of the application of the other decision trees. In operation, the GPU partitions the image into subsets of pixels, and associates an execution thread with each of the pixels in the subset of pixels. The GPU then causes each of the execution threads to apply the random forest classifier to the associated pixel, thereby determining a likelihood that the pixel corresponds to the object. Advantageously, such a distributed approach to object detection more fully leverages the parallel architecture of the PPU than conventional approaches. In particular, the PPU performs object detection more efficiently using the random forest classifier than using a cascaded classifier.
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公开(公告)号：US20140369554A1
公开(公告)日：2014-12-18
申请号：US14031551
申请日：2013-09-19
Applicant: Nvidia Corporation
Inventor： Elif Albuz , Colin Tracey , Navjot Garg , Yun-Ta Tsai , Dawid Pajak
CPC classification number: G06T5/20 , G06T5/002 , G06T5/008 , G06T11/60 , G06T2207/20124 , G06T2207/20192 , G06T2207/30201
Abstract: A face beautification system and a method of face beautification. On embodiment of the face beautification system includes: (1) a coarse feature detector configured to generate an approximation of facial features in an image, (2) an edge-preserving filter configured to reduce distortions in the approximation, and (3) a feature enhancer operable to selectively filter a facial feature from said approximation and carry out an enhancement.
Abstract translation: 面美化体系和面部美化方法。 面部美化系统的实施例包括：（1）粗糙特征检测器，被配置为生成图像中的面部特征的近似，（2）边缘保留滤波器，被配置为减少近似中的失真，以及（3）特征 增强器可操作以从所述近似选择性地过滤面部特征并执行增强。
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