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1. 发明授权

US09336607B1 Automatic identification of projection surfaces 有权
标题翻译：自动识别投影面
公开(公告)号：US09336607B1
公开(公告)日：2016-05-10
申请号：US13687952
申请日：2012-11-28
申请人： Rawles LLC
发明人： Samuel Henry Chang , Ning Yao , Sowmya Gopalan
IPC分类号： G06K9/00 , G06T7/40
CPC分类号： G06T7/73 , G06T2200/04 , G06T2207/10028
摘要： Techniques are described for identifying suitable surfaces within a room upon which visual content may be displayed. One or more images of the room are obtained and used to identify planar surfaces. The images may also be analyzed to determine the visual textures of the surfaces within the room. Suitable projection surfaces may then be selected from the identified planar surfaces, based on the visual textures of the planar surfaces.
摘要翻译：描述了用于识别可以在其上显示可视内容的房间内的合适表面的技术。获得房间的一个或多个图像并用于识别平面。还可以分析图像以确定房间内的表面的视觉纹理。然后可以基于平面表面的视觉纹理从所识别的平面表面中选择合适的投影表面。

2. 发明授权

US09189850B1 Egomotion estimation of an imaging device 有权
标题翻译：成像装置的运动估计
公开(公告)号：US09189850B1
公开(公告)日：2015-11-17
申请号：US13753395
申请日：2013-01-29
申请人： Rawles LLC
发明人： Manika Puri , Sowmya Gopalan
IPC分类号： G06T7/20 , G06T7/00
CPC分类号： G06T7/2033 , G06T7/246 , G06T2207/10016 , G06T2207/10028 , G06T2207/30244
摘要： Described herein are techniques and systems to determine movement of an imaging device (egomotion) using an analysis of images captured the by imaging device. The imaging device, while in a first position, may capture a first image of an environment. The image may be a depth map, a still photograph, or other type of image that enables identification of objects, reference features, and/or other characteristics of the environment. The imaging device may then capture a second image from a second position within the environment after the imaging devices moves from the first position to the second position. A comparison of corresponding reference features from the first image and second image may be used to determine translation and rotation of the imaging device.
摘要翻译：这里描述的是使用对通过成像装置捕获的图像的分析来确定成像装置的运动（例如运动）的技术和系统。成像装置在处于第一位置时可以捕获环境的第一图像。该图像可以是能够识别对象，参考特征和/或其他环境特征的深度图，静态照片或其他类型的图像。然后，成像装置可以在成像装置从第一位置移动到第二位置之后从环境内的第二位置捕获第二图像。可以使用来自第一图像和第二图像的相应参考特征的比较来确定成像装置的平移和旋转。

3. 发明授权

US09304582B1 Object-based color detection and correction 有权
标题翻译：基于对象的颜色检测和校正
公开(公告)号：US09304582B1
公开(公告)日：2016-04-05
申请号：US14134721
申请日：2013-12-19
申请人： Rawles LLC
发明人： Vijay Kamarshi , Helder Jesus Ramalho , Rahul Agrawal , Robert Ramsey Flenniken , Ning Yao , Paul Matthew Bombach , Yue Liu , Sowmya Gopalan
IPC分类号： G06F3/01 , G06F3/042 , G06T7/00
CPC分类号： G06F3/011 , G06F3/017 , G06F3/0425 , G06T7/70 , G06T7/73 , G06T7/90 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
摘要： A system may utilize a projector, a camera, and a depth sensor to produce images within the environment of a user and to detect and respond to user actions. Depth data from the depth sensor may be analyzed to detect and identify items within the environment. A coordinate transformation may then be used to identify corresponding color values from camera data, which can in turn be analyzed to determine the colors of detected items. A similar coordinate transformation may be used to identify color values of a projected image that correspond to the detected items. In some cases, camera color values corresponding to an item may be corrected based on the corresponding color values of a projected image. In other cases, projected color values corresponding to an item may be corrected based on the corresponding camera color values.
摘要翻译：系统可以使用投影仪，照相机和深度传感器来在用户的环境内产生图像并且检测和响应用户动作。可以分析来自深度传感器的深度数据以检测和识别环境内的物品。然后可以使用坐标变换来从相机数据识别相应的颜色值，其可以进一步被分析以确定检测到的物品的颜色。可以使用类似的坐标变换来识别与检测到的项目相对应的投影图像的颜色值。在一些情况下，可以基于投影图像的相应颜色值来校正对应于项目的相机颜色值。在其他情况下，可以基于相应的相机颜色值来校正对应于项目的投影颜色值。

4. 发明授权

US10126820B1 Open and closed hand detection 有权
公开(公告)号：US10126820B1
公开(公告)日：2018-11-13
申请号：US13689525
申请日：2012-11-29
申请人： Rawles LLC
发明人： Samuel Henry Chang , Ning Yao , Sowmya Gopalan , Rahul Agrawal
IPC分类号： G06F3/01
摘要： Detection of human hands within an environment is used for gesture recognition for input to a computing system. Detecting a hand is non-trivial, however, because the appearances of a hand vary widely with many independent digits and moving parts. A feature-based similarity measurement is used to detect two specific hand positions—an open hand and a closed hand.

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