Object ingestion through canonical shapes, systems and methods
First Claim
1. An object recognition ingestion system comprising:
- canonical shape database storing shape objects having geometrical attributes of canonical shapes, shape attributes, and having reference key frame points-of-view (PoVs); and
an object ingestion engine coupled with the canonical shape database and programmed to perform the steps of;
obtaining image data of at least one object;
deriving a set of edges related to the at least one object from the image data;
obtaining a shape result set from the canonical shape database where the shape result set include shape objects having shape attributes satisfying shape selection criteria determined as a function of geometrical information from the set of edges;
selecting at least one target shape object from shape objects in the shape result set;
generating an object model from the at least one target shape object and portions of the image data associated with the set of edges;
deriving a set of model key frame PoVs from the object model and the reference key frame PoVs associated with the at least one target shape object;
instantiating a descriptor object model from the object model, the descriptor model comprising recognition algorithm descriptors having locations on the object model relative to the model key frame PoVs;
creating a set of key frames bundles from the descriptor object model as a function of the set of model key frame PoVs; and
storing the set of key frame bundles in object recognition database.
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Abstract
An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.
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Citations
24 Claims
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1. An object recognition ingestion system comprising:
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canonical shape database storing shape objects having geometrical attributes of canonical shapes, shape attributes, and having reference key frame points-of-view (PoVs); and an object ingestion engine coupled with the canonical shape database and programmed to perform the steps of; obtaining image data of at least one object; deriving a set of edges related to the at least one object from the image data; obtaining a shape result set from the canonical shape database where the shape result set include shape objects having shape attributes satisfying shape selection criteria determined as a function of geometrical information from the set of edges; selecting at least one target shape object from shape objects in the shape result set; generating an object model from the at least one target shape object and portions of the image data associated with the set of edges; deriving a set of model key frame PoVs from the object model and the reference key frame PoVs associated with the at least one target shape object; instantiating a descriptor object model from the object model, the descriptor model comprising recognition algorithm descriptors having locations on the object model relative to the model key frame PoVs; creating a set of key frames bundles from the descriptor object model as a function of the set of model key frame PoVs; and storing the set of key frame bundles in object recognition database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification