Abstract: An electronic system for enhancing camera focusing on a portable electronic device is disclosed. The system comprises a body, a bus, and a camera module coupled to the bus and comprising a photosensitive substrate and a lens assembly wherein the lens assembly comprises a lens capable of being selectively moved to a distance from the photosensitive substrate for light focus thereon. Further, it comprises an accelerometer coupled to the bus and configured to generate orientation information, said orientation information indicating contemporaneous orientation of the body with respect to a predetermined reference. It also comprises a memory and a processor coupled to the bus. The memory comprises instructions that when executed implement an autofocus program configured to automatically determine the distance based on: 1) image data captured by said camera module; and 2) the orientation information generated by the accelerometer.

Abstract: An electronic system for enhancing camera focusing on a portable electronic device is disclosed. The system comprises a body, a bus, and a camera module coupled to the bus and comprising a photosensitive substrate and a lens assembly wherein the lens assembly comprises a lens capable of being selectively moved to a distance from the photosensitive substrate for light focus thereon. Further, it comprises an accelerometer coupled to the bus and configured to generate orientation information, said orientation information indicating contemporaneous orientation of the body with respect to a predetermined reference. It also comprises a memory and a processor coupled to the bus. The memory comprises instructions that when executed implement an autofocus program configured to automatically determine the distance based on: 1) image data captured by said camera module; and 2) the orientation information generated by the accelerometer.

Abstract: Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.

Abstract: Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.

Abstract: A method for distinguishing a foreground object from a monochromatic background in a digital image depicting a foreground object in front of said monochromatic background. A outer edge intensity map is created of the foreground object to which a tracing process is conducted. A continuous edge map is created by utilizing the traced edges in the outer edge intensity map. By selecting a path on the continuous edge map based on average edge intensity, a final edge map is created. The pixels comprised within the final edge map are distinguished as the foreground object. Optionally, the final edge map may be refined utilizing certain techniques.

Abstract: Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.

Abstract: A method for distinguishing a foreground object from a monochromatic background in a digital image depicting a foreground object in front of said monochromatic background. A outer edge intensity map is created of the foreground object to which a tracing process is conducted. A continuous edge map is created by utilizing the traced edges in the outer edge intensity map. By selecting a path on the continuous edge map based on average edge intensity, a final edge map is created. The pixels comprised within the final edge map are distinguished as the foreground object. Optionally, the final edge map may be refined utilizing certain techniques.