Image processing method, image processing system, image pickup device, image processing device and computer program for manipulating a plurality of images

An image processing system, comprising

• an image pickup part that obtains a plurality of images by continuously taking an image of a face;
• an image processing part that detects a first range of the face in a first image among the plurality of images;
• a deciding part that decides a first reference point that is located in the detected first range, the first reference point being a center of gravity for the range;
• a first calculating part that calculates a first scaling rate based on the first range and the first reference point;
• a first scaling part that performs a first scaling operation on a second image, which is obtained after the first image, with the calculated first scaling rate and with the first reference point being a center for the first scaling operation;
• an identifying part identifying a second range of the face in the second image on which the first scaling operation has been performed;
• a deciding part deciding a second reference point that is located in the second range, the second reference point being a center of gravity for the second range;
• a second calculating part that calculates a second scaling rate based on the second range and the second reference point;
• and
• a second scaling part that performs a second scaling operation on a third image, which is obtained after the second image, with the calculated second scaling rate and with the second reference point being a center for the second scaling operation.

An image processing device, comprising:

• an image pickup part that obtains a plurality of image data by continuously accepting input of image data indicative of an image;
• an image processing part that detects a first range of a face in a first image data among the plurality of image data;
• a deciding part that decides a first reference point that is located in the detected first range, the first reference point being a center of gravity for the range;
• a first calculating part that calculates a first scaling rate based on the first range and the first reference point;
• a first scaling part that performs a first scaling operation on second image data, which is obtained after the first image data, with the calculated first scaling rate and with the first reference point being a center for the first scaling operation;
• an identifying part identifying a second range of the face in the second image data on which the first scaling operation has been performed;
• a deciding part deciding a second reference point that is located in the second range, the second reference point being a center of gravity for the second range;
• a second calculating part that calculates a second scaling rate based on the second range and the second reference point;
• and
• a second scaling part performing a second scaling operation on third image data, which is obtained after the second image data, with the calculated second scaling rate and with the second reference point being a center for the second scaling operation.

A non-transitory computer readable storage which stores a computer program that causes a computer to execute an image processing method comprising:

• obtaining a plurality of image data by accepting continuously input of image data indicative of an image;
• detecting a first range of a face in a first image data among the plurality of image data;
• deciding a first reference point that is located in the detected first range, the first reference point being a center of gravity for the range;
• calculating a first scaling rate based on the first range and the first reference point
• performing a first scaling operation on second image data, which is obtained after the first image data, with the calculated first scaling rate and with the first reference point being a center for the first scaling operation;
• identifying a second range of the face in the second image data on which the first scaling operation has been performed;
• deciding a second reference point that is located in the second range, the second reference point being a center of gravity for the second range;
• calculating a second scaling rate based on the second range and the second reference point;
• and
• performing a second scaling operation on third image data, which is obtained after the second image data, with the calculated second scaling rate and with the second reference point being a center for the second scaling operation.