Object recognition using global similarity-based classifier
OwnerAli Rahimiinventor
Life of this patent
Estimating the term…
Abstract
In some embodiments, object recognition using global similarity-based classifier is presented. In this regard, an apparatus is introduced comprising: a camera, a display, and a processor, the processor to: receive an image from the camera, convert the image to a numerical representation, compute a similarity function between the converted image and a plurality of prototype image representations, and classify the output of the similarity function to identify the image. Other embodiments are also disclosed and claimed.
Claims22
An apparatus comprising:
- a camera;
- a display;
- and
- a processor, the processor to:
- receive an image from the camera;
- convert the image to a numerical representation;
- compute a similarity function between the converted image and a plurality of prototype image representations;
- and
- classify the output of the similarity function to identify the image.
A storage medium comprising content which, when executed by an accessing machine, causes the accessing machine to receive an image from a camera, to convert the image to a numerical representation, to compute a similarity function between the converted image and a plurality of prototype image representations, and to classify the output of the similarity function to identify the image.
An apparatus comprising:
- a camera;
- a display;
- and
- a processor, the processor to:
- receive an image from the camera;
- convert the image to SIFT features;
- compute maximum weight matchings between sets of SIFT features of the image and a plurality of prototype images;
- and
- classify a fixed-length vector of the maximum weight matchings to identify the image.
A storage medium comprising content which, when executed by an accessing machine, causes the accessing machine to receive an image from the camera, to convert the image to SIFT features, to compute maximum weight matchings between sets of SIFT features of the image and a plurality of prototype images, and to classify a fixed-length vector of the maximum weight matchings to identify the image.
Dependencies are inferred from the claim text.