Device and method for classifying a condition based on image analysis
First Claim
Patent Images
1. An image analysis device comprising:
- circuitry configured to;
receive one or more input images;
detect a plurality of anatomical landmarks on the one or more input images using a pre-determined face model;
extract a plurality of geometric and local texture features based on the plurality of anatomical landmarks;
select one or more condition-specific features from the plurality of geometric and local texture features; and
classify the one or more input images into one or more conditions based on the selected one or more condition-specific geometric and local texture features to generate a classification result,wherein the pre-determined face model is generated by the circuitry being configured to generate a statistical shape with non-Gaussian shape prior estimation,and wherein the circuitry is configured to generate the statistical shape with non-Gaussian shape prior estimation using kernel density estimation (KDE).
2 Assignments
0 Petitions
Accused Products
Abstract
An image analysis device includes circuitry that receives one or more input images and detects a plurality of anatomical landmarks on the one or more input images using a pre-determined face model. The circuitry extracts a plurality of geometric and local texture features based on the plurality of anatomical landmarks. The circuitry selects one or more condition-specific features from the plurality of geometric and local texture features. The circuitry classifies the one or more input images into one or more conditions based on the one or more condition-specific features.
13 Citations
25 Claims
-
1. An image analysis device comprising:
- circuitry configured to;
receive one or more input images;
detect a plurality of anatomical landmarks on the one or more input images using a pre-determined face model;extract a plurality of geometric and local texture features based on the plurality of anatomical landmarks; select one or more condition-specific features from the plurality of geometric and local texture features; and classify the one or more input images into one or more conditions based on the selected one or more condition-specific geometric and local texture features to generate a classification result, wherein the pre-determined face model is generated by the circuitry being configured to generate a statistical shape with non-Gaussian shape prior estimation, and wherein the circuitry is configured to generate the statistical shape with non-Gaussian shape prior estimation using kernel density estimation (KDE). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25)
- circuitry configured to;
-
18. An image analysis method comprising:
-
receiving one or more input images; detecting, by circuitry, a plurality of anatomical landmarks on the one or more input images using a pre-determined face model; extracting, by the circuitry, a plurality of geometric and local texture features based on the plurality of anatomical landmarks; selecting, by the circuitry, one or more condition-specific features from the plurality of geometric and local texture features; and classifying, by the circuitry, the one or more input images into one or more conditions based on the selected one or more condition-specific geometric and local texture features to generate a classification result, wherein the pre-determined face model is generated by the circuitry by generating a statistical shape with non-Gaussian shape prior estimation, and wherein the circuitry is configured to generate the statistical shape with non-Gaussian shape prior estimation using kernel density estimation (KDE).
-
-
19. A non-transitory computer readable medium having instructions stored therein that when executed by one or more processors cause a computer to perform an image analysis method, the method comprising:
-
receiving one or more input images; detecting a plurality of anatomical landmarks on the one or more input images using a pre-determined face model; extracting a plurality of geometric and local texture features based on the plurality of anatomical landmarks; selecting one or more condition-specific features from the plurality of geometric and local texture features; and classifying, by the circuitry, the one or more input images into one or more conditions based on the selected one or more condition-specific geometric and local texture features to generate a classification result, wherein the pre-determined face model is generated by the circuitry by generating a statistical shape with non-Gaussian shape prior estimation, and wherein the circuitry is configured to generate the statistical shape with non-Gaussian shape prior estimation using kernel density estimation (KDE).
-
Specification