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Object Detection in Image Data Using Depth Segmentation

A technology of depth data and data, applied in image data processing, image analysis, image enhancement and other directions, can solve the problems of inaccurate positioning and recognition

Active Publication Date: 2020-12-01
SAP AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, both localization and identification of objects within multidimensional image data remain imprecise

Method used

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  • Object Detection in Image Data Using Depth Segmentation
  • Object Detection in Image Data Using Depth Segmentation
  • Object Detection in Image Data Using Depth Segmentation

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Embodiment Construction

[0023] The current subject matter is directed to enhanced techniques for locating (ie, detecting, etc.) objects within multidimensional image data. Such multi-dimensional image data can, for example, be generated by optical sensors specifying both color and depth information. In some cases, the multidimensional image data is RGB-D data, while in other cases other types of multidimensional image data can be utilized, including but not limited to point cloud data. Although described below primarily in connection with RGB-D image data, it should be understood that, unless otherwise stated, the present subject matter is applicable to other types of multidimensional image data (i.e., data that combines color and depth data / information) that Types of multidimensional image data include video streams from depth sensors / cameras (which can be represented as a series of RGB-D images).

[0024] figure 1 is a process flow diagram 100 illustrating the generation of a bounding box (box) u...

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Abstract

RGB-D data generated by at least one optical sensor is received for a field of view. Thereafter, the RGB‑D data is branched into (i) RGB data and (ii) depth data for the field of view. One or more bounding polygons are defined within the depth data, each characterizing a window within the field of view of the encapsulated object. The RGB data is then clipped using the (multiple) bounding polygons. Image processing can later be applied to the cropped RGB data to identify at least one object therein. Associated devices, systems, techniques, and articles are also described.

Description

technical field [0001] The subject matter described herein relates to the localization of objects within image data using depth segmentation to define a bounding polygon around the object to facilitate further image processing. Background technique [0002] Sensors are increasingly employed across multiple computing platforms (including standalone sensors for gaming platforms, mobile phones, etc.) to provide multi-dimensional image data (eg, three-dimensional data, etc.). These image data are computationally analyzed to locate objects and, in some cases, to later identify or otherwise characterize these objects. However, both localization and identification of objects within multidimensional image data remain imprecise. Contents of the invention [0003] In an aspect, RGB-D data generated by at least one optical sensor is received for a field of view. Thereafter, the RGB-D data is branched into (i) RGB data and (ii) depth data for the field of view. One or more bounding...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/12G06T7/564G06T7/90G06T7/00
CPCG06T7/564G06T7/12G06T7/90G06T7/0002G06T2207/10004G06T7/50G06V20/64G06V10/255G06F18/24G06T2207/20132G06T2210/12
Inventor W.A.法罗奇J.利普斯E.施密特T.弗里克N.弗扎诺
Owner SAP AG