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1.发明授权公开(公告)号：US09734426B2
公开(公告)日：2017-08-15
申请号：US14567101
申请日：2014-12-11
Applicant: SRI International
Inventor： Ajay Divakaran , Weiyu Zhang , Qian Yu , Harpreet S. Sawhney
CPC classification number: G06K9/6202 , G06K9/4642 , G06K9/4671 , G06K9/6223 , G06K9/6269 , G06T2207/10024 , G06T2207/30128
Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.
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2.发明申请公开(公告)号：US20160063692A1
公开(公告)日：2016-03-03
申请号：US14567101
申请日：2014-12-11
Applicant: SRI International
Inventor： Ajay Divakaran , Weiyu Zhang , Qian Yu , Harpreet S. Sawhney
CPC classification number: G06K9/6202 , G06K9/4642 , G06K9/4671 , G06K9/6223 , G06K9/6269 , G06T2207/10024 , G06T2207/30128
Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.
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3.发明授权公开(公告)号：US09916520B2
公开(公告)日：2018-03-13
申请号：US14567107
申请日：2014-12-11
Applicant: SRI International
Inventor： Ajay Divakaran , Weiyu Zhang , Qian Yu , Harpreet S. Sawhney
CPC classification number: G06K9/6202 , G06K9/4642 , G06K9/4671 , G06K9/6223 , G06K9/6269 , G06T2207/10024 , G06T2207/30128
Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.
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4.发明申请Automated Food Recognition and Nutritional Estimation With a Personal Mobile Electronic Device 有权个人移动电子设备的自动食品识别和营养估计公开(公告)号：US20160063734A1
公开(公告)日：2016-03-03
申请号：US14567107
申请日：2014-12-11
Applicant: SRI International
Inventor： Ajay Divakaran , Weiyu Zhang , Qian Yu , Harpreet S. Sawhney
CPC classification number: G06K9/6202 , G06K9/4642 , G06K9/4671 , G06K9/6223 , G06K9/6269 , G06T2207/10024 , G06T2207/30128
Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.
Abstract translation: 食品识别助理系统包括识别食物数字图片中描述的食物和食物组合的技术。 一些实施方案包括估计部分大小和热量的技术，以及估计食物的营养价值。 在一些实施例中，识别识别的食物和相关信息的数据以自动方式产生，而不依赖于人类帮助来识别食物。 在一些实施例中，该系统包括用于在具有混乱背景的现实生活设置中实现自动食物检测和识别的技术，而不将图像置于受控实验室设置中，并且不需要额外的用户输入（诸如用户定义的界限 盒）。 该系统的一些实施例包括基于用户特定习惯，位置和/或其他标准来个性化食品分类的技术。
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