US 10,650,040 B2 · Object recognition of feature-sparse or texture-limited subject matter

Abstract

An object recognition system can be adapted to recognize subject matter having very few features or limited or no texture. A feature-sparse or texture-limited object can be recognized by complementing local features and/or texture features with color, region-based, shape-based, three-dimensional (3D), global, and/or composite features. Machine learning algorithms can be used to classify such objects, and image matching and verification can be adapted to the classification. Further, multiple modes of input can be integrated at various stages of the object recognition processing pipeline. These multi-modal inputs can include user feedback, additional images representing different perspectives of the object or specific regions of the object including a logo or text corresponding to the object, user behavior data, location, among others.

Claims20

Dependent claims

A system, comprising:

at least one processor;
memory including instructions that, when executed by the at least one processor, cause the system to:
obtain a request to identify an object represented in an image;
determine a first image attribute and a second image attribute associated with the object, the first image attribute associated with a first pixel region that includes a representation of the object, the second image attribute associated with a second pixel region at least in part outside the first pixel region and of a second size;
fail to identify the object based on the first image attribute;
determine a classification of the object based at least in part upon the second image attribute;
and
determine a database object matching the object based at least in part upon the classification.

5 more elements

A non-transitory computer-readable storage medium storing instructions, the instructions, which when executed by at least one processor of a computing system, cause the computing system to:

obtain a request to identify an object represented in an image;
determine a first image attribute and a second image attribute associated with the object, the first image attribute associated with a first pixel region that includes a representation of the object, the second image attribute associated with a second pixel region at least in part outside the first pixel region and of a second size;
fail to identify the object based on the first image attribute;
determine a classification of the object based at least in part upon the second image attribute;
and
determine a database object matching the object based at least in part upon the classification.

3 more elements

Dependencies are inferred from the claim text.

Object recognition of feature-sparse or texture-limited subject matter

Life of this patent

Object recognition of feature-sparse or texture-limited subject matter

Life of this patent

Abstract

Claims20