Image capture system and operation method thereof

Abstract

An image capture system includes a depth information generation unit, a feature extraction unit, and a merging unit. The depth information generation unit generates a depth information corresponding to at least one object of an original image. The feature extraction unit generates a feature information corresponding to the at least one object of the original image. The merging unit is coupled to the depth information generation unit and the feature extraction unit, and merges the depth information and the feature information into a feature depth map and outputs the feature depth map to an application unit.

What is claimed is: 
     
         1 . An image capture system comprising:
 a depth information generation unit generating a depth information corresponding to at least one object of an original image;   a feature extraction unit generating a feature information corresponding to the at least one object of the original image; and   a merging unit coupled to the depth information generation unit and the feature extraction unit, the merging unit merging the depth information and the feature information into a feature depth map and outputting the feature depth map to an application unit.   
     
     
         2 . The image capture system of  claim 1 , wherein the merging unit gives a first weight to the depth information and a second weight to the feature information, and the merging unit merges the depth information and the feature information into the feature depth map according to the first weight and the second weight. 
     
     
         3 . The image capture system of  claim 1 , wherein the feature information corresponds to high frequency parts of the feature depth map and the depth information corresponds to low frequency parts of the feature depth map. 
     
     
         4 . The image capture system of  claim 3 , wherein the application unit utilizes the high frequency parts of the feature depth map to execute face recognition corresponding to the at least one object. 
     
     
         5 . The image capture system of  claim 3 , wherein the application unit utilizes the low frequency parts of the feature depth map to execute gesture recognition corresponding to the at least one object. 
     
     
         6 . The image capture system of  claim 3 , wherein the application unit utilizes the low frequency parts of the feature depth map to determine a distance between the at least one object and the image capture system. 
     
     
         7 . The image capture system of  claim 3 , wherein the application unit utilizes the low frequency parts of the feature depth map to execute gesture recognition corresponding to the at least one object and determine a distance between the at least one object and the image capture system. 
     
     
         8 . An operation method of an image capture system, wherein the image capture system comprises a depth information generation unit, a feature extraction unit, and a merging unit, the operation method comprising:
 the depth information generation unit generating a depth information corresponding to at least one object of an original image;   the feature extraction unit generating a feature information corresponding to the at least one object of the original image; and   the merging unit merging the depth information and the feature information into a feature depth map and outputting the feature depth map to an application unit.   
     
     
         9 . The operation method of  claim 8 , wherein the merging unit merging the depth information and the feature information into the feature depth map comprises:
 the merging unit giving a first weight to the depth information and a second weight to the feature information; and   the merging unit merging the depth information and the feature information into the feature depth map according to the first weight and the second weight.   
     
     
         10 . The operation method of  claim 8 , wherein the feature information corresponds to high frequency parts of the feature depth map and the depth information corresponds to low frequency parts of the feature depth map. 
     
     
         11 . The operation method of  claim 10 , wherein the application unit utilizes the high frequency parts of the feature depth map to execute face recognition corresponding to the at least one object. 
     
     
         12 . The operation method of  claim 10 , wherein the application unit utilizes the low frequency parts of the feature depth map to execute gesture recognition corresponding to the at least one object. 
     
     
         13 . The operation method of  claim 10 , wherein the application unit utilizes the low frequency parts of the feature depth map to determine a distance between the at least one object and the image capture system. 
     
     
         14 . The operation method of  claim 10 , wherein the application unit utilizes the low frequency parts of the feature depth map to execute gesture recognition corresponding to the at least one object and determine a distance between the at least one object and the image capture system.