Method and system for performing image classification for object recognition

A computing system for image classification, comprising:

• a non-transitory computer-readable medium;
• at least one processing circuit configured, when the non-transitory computer-readable medium has stored an image generated by an image capture device for representing one or more objects in a field of view of the image capture device, to perform the following:
• receive the image;
• generate one or more bitmaps based on at least one image portion of the image, wherein the one or more bitmaps and the at least one image portion are associated with a first object of the one or more objects, and wherein the one or more bitmaps describe whether one or more visual features for feature detection are present in the at least one image portion, or describe whether there is variation in intensity across the at least one image portion;
• determine whether to classify the at least one image portion as textured or textureless based on the one or more bitmaps;
• and
• perform motion planning for robot interaction with the one or more objects based on whether the at least one image portion is classified as textured or textureless.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one processing circuit of a computing system, causes the at least one processing circuit to:

• receive an image, wherein the computing system is configured to communicate with an image capture device, wherein the image is generated by the image capture device, and is for representing one or more objects in a field of view of the image capture device;
• generate one or more bitmaps based on at least one image portion of the image, wherein the one or more bitmaps and the at least one image portion are associated with a first object of the one or more objects, and wherein the one or more bitmaps describe whether one or more visual features for feature detection are present in the at least one image portion, or describe whether there is variation in intensity across the at least one image portion;
• determine whether to classify the at least one image portion as textured or textureless based on the one or more bitmaps;
• and
• perform motion planning for robot interaction with the one or more objects based on whether the at least one image portion is classified as textured or textureless.