System and method for labeling feature clusters in frames of image data for optical navigation
AssigneeAvago Technologies ECBU IP (Singapore) Pte. Ltd.
InventorsEdward Kah Ching Teoh, Zi Hao Tan
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Abstract
A system and method for labeling feature clusters in frames of image data for optical navigation uses distances between feature clusters in a current frame of image data and feature clusters in a previous frame of image data to label the feature clusters in the current frame of image data using identifiers associated with the feature cluster in the previous frame of image data that have been correlated with the feature clusters in the current frame of image data.
Claims20
A method for labeling feature clusters in frames of image data for optical navigation, said method comprising:
- identifying current feature clusters in a current frame of image data;
- correlating said current feature clusters in said current frame of image data with previous feature clusters in a previous frame of image data based on distances between said current and previous feature clusters;
- and
- labeling each of said current feature clusters with an identifier associated with one of said previous feature clusters that has been correlated with that current feature cluster.
A method for labeling feature clusters in frames of image data for optical navigation, said method comprising:
- identifying current feature clusters in a current frame of image data;
- correlating said current feature clusters in said current frame of image data with previous feature clusters in a previous frame of image data based on distances between said current and said previous feature clusters, including associating each current feature cluster of said current feature clusters with one of said previous feature clusters that is closest to that current feature cluster and correlating a particular current feature cluster of said current feature clusters with an associated previous feature cluster of said previous feature clusters in which a distance between said particular current feature cluster and said associated previous feature cluster is the longest distance between any associated current and previous feature clusters;
- and
- labeling each of said current feature clusters with an identifier associated with one of said previous feature clusters that has been correlated with that current feature cluster.
A system for optical navigation, said system comprising:
- an image sensor configured to capture frames of image data;
- and
- a navigation engine operatively connected to said image sensor, said navigation engine being configured to identify current feature clusters in a current frame of image data and correlate said current feature clusters in said current frame of image data with previous feature clusters in a previous frame of image data based on distances between said current and previous feature clusters, said navigation engine being further configured to label each of said current feature clusters with an identifier associated with one of said previous feature clusters that has been correlated with that current feature cluster.
Dependencies are inferred from the claim text.