Abstract: Various methods for local binary pattern based facial feature localization. One example method includes determining an eye state classification of an input image. The example method may also include selecting a texture model for a global shape and an associated mean shape based on eye center positions and the eye state classification, and adjusting locations of feature points defined by the mean shape based on the texture model for the global shape and an associated global shape model. Similar and related example methods and example apparatuses are also provided.

Abstract: An apparatus, a method, a computer program and a graphical user interface is provided.

Abstract: A method for providing adaptive gesture analysis may include dividing a distance range into a plurality of depth ranges, generating a plurality of intensity images for at least two image frames, each of the intensity images providing image data indicative of a presence of objects at a corresponding depth range for a respective image frame, determining motion variation between the two image frames for each corresponding depth range, and determining depth of a target based at least in part on the motion variation. An apparatus and computer program product corresponding to the method are also provided.

Abstract: An apparatus, a method and a computer program is provided. The apparatus comprises at least one processor; and at least one memory storing computer program instructions, the at least one processor being configured to execute the computer program instructions to cause the apparatus at least to perform: processing an input pattern, detected at an instance in time by a touch sensitive display, to discriminate between a fingertip input pattern and an elongate input pattern; performing a first action after discriminating that the input pattern corresponds with the fingertip input pattern; and performing a second action after discriminating that the input pattern corresponds with the elongate input pattern, wherein the second action is different to the first action.

Abstract: Apparatus, a method and a computer program are provided.

Abstract: An apparatus, comprising a processor, memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receiving an indication of an input environment, determining that the input environment negatively affects at least one input mode, determining that the input mode is active, and causing display of an input environment notification is disclosed.

Abstract: An apparatus for providing a personalizable user interface may include a processor. The processor may be configured to receive a drawing input at a touch screen display, determine whether the drawing input corresponds to a stored graphic element that is associated with a function, and initiate the function in response to determining that the drawing input corresponds to the stored graphic element. A corresponding method and computer program product are also provided.

Abstract: A system and method for using images captured from a digital camera to control navigation through a three-dimensional user interface. The sequence of images may be examined to identify feature points to be tracked through successive frames of the images captured by the camera. A plurality of classifiers may be used to discern shift from rotation gestures, based on expected behavior of feature points in the image when the camera is shifted or rotated in position. The various classifiers may generate voting values for shift and rotation gestures, and the system can use historical gesture information to assist in categorizing a current gesture.

Abstract: A device for utilizing camera motion detection for a camera input interface includes a feature extractor, a feature tracker and a capture module. The feature extractor is configured to determine at least one obvious feature in an image frame. The feature tracker is in communication with the feature extractor. The feature tracker is configured to determine an amount of movement of the at least one obvious feature in a subsequent image frame and compare the amount of movement to a threshold. The capture module is in communication with the feature tracker. The capture module is configured to capture an image in response to the comparison of the amount of movement to the threshold.

Abstract: A method for providing orientation independent face detection may include generating multiple mosaic images from an input image in which each of the multiple mosaic images has a different scale, employing a plurality of differently oriented edge detectors to perform edge detection on the multiple mosaic images including combining edges of the multiple mosaic images having the different scales, and performing face detection in regions corresponding to the differently oriented edge detectors based on respective feature maps produced by the differently oriented edge detectors. An apparatus and computer program product corresponding to the method are also provided.

Abstract: In accordance with an example embodiment of the present invention, an apparatus comprising a camera configured to capture one or more media frames. Further, the apparatus comprises at least one processor and at least one memory including computer program code. The at least one memory and the computer program code is configured to, with the at least one processor, cause the apparatus to perform at least the following: filter the one or more media frames using one or more shaped filter banks; determine a gesture related to the one or more media frames; track movement of the gesture; and initiate a feature based at least in part on the tracked movement.

Abstract: Various methods for feature extraction using local primitive code are provided. One example method includes determining an origin block within an image, an arc, an arc orientation, and a distance between the origin block and the arc. In this regard, the origin block may include one or more pixels of the image. The example method also includes determining at least one arc block. In this regard, the arc block may be located on the arc and the arc may be located with respect to the origin block based on the arc orientation and the distance. Some or all of the at least one arc blocks may include one or more pixels of the image. The example method also includes determining at least one feature value based on attributes of the origin block and the at least one arc block. Similar and related example methods and example apparatuses are also provided.

Abstract: Various methods for written mathematical expression analysis are provided. One method may include receiving written input where the written input is representative of a mathematical expression. The method may also include analyzing the written input to identify at least one operator and at least one operand and constructing an expression tree based at least in part on predefined symbol relationships, the at least one operator, and the at least one operand. Similar apparatuses and computer program products are also provided.

Abstract: A method for providing hand segmentation for gesture analysis may include determining a target region based at least in part on depth range data corresponding to an intensity image. The intensity image may include data descriptive of a hand. The method may further include determining a point of interest of a hand portion of the target region, determining a shape corresponding to a palm region of the hand, and removing a selected portion of the target region to identify a portion of the target region corresponding to the hand. An apparatus and computer program product corresponding to the method are also provided.

Abstract: An apparatus for providing a personalizable user interface may include a processor. The processor may be configured to receive a drawing input at a touch screen display, determine whether the drawing input corresponds to a stored graphic element that is associated with a function, and initiate the function in response to determining that the drawing input corresponds to the stored graphic element. A corresponding method and computer program product are also provided.

Abstract: A method for providing face pose estimation for face detection may include utilizing a selected portion of classifiers in detectors to determine coarse pose information for a candidate face in an image, determining fine pose information for the candidate face based at least in part on the determined coarse pose information, and employing another portion of the classifiers in the detectors to perform face detection based at least in part on the fine pose information to determine whether the candidate face corresponds to a face. An apparatus and computer program product corresponding to the method are also provided.

Abstract: An apparatus for providing an input order independent character input mechanism may include a processor. The processor may be configured to receive an input comprising an element corresponding to a portion of a character being entered by a user independent of an order for inputting the element based on the portion of the character corresponding to the element, wherein receiving an input comprises receiving at least one radical. The processor may additionally be configured to retrieve at least one candidate character for the character being entered based at least in part on the received element. The processor may also be configured to provide a selection of candidate characters including the at least one candidate character to the user. Associated methods and computer program products may also be provided.

Abstract: A method for providing orientation independent face detection may include generating multiple mosaic images from an input image in which each of the multiple mosaic images has a different scale, employing a plurality of differently oriented edge detectors to perform edge detection on the multiple mosaic images including combining edges of the multiple mosaic images having the different scales, and performing face detection in regions corresponding to the differently oriented edge detectors based on respective feature maps produced by the differently oriented edge detectors. An apparatus and computer program product corresponding to the method are also provided.

Abstract: A method for providing adaptive gesture analysis may include dividing a distance range into a plurality of depth ranges, generating a plurality of intensity images for at least two image frames, each of the intensity images providing image data indicative of a presence of objects at a corresponding depth range for a respective image frame, determining motion variation between the two image frames for each corresponding depth range, and determining depth of a target based at least in part on the motion variation. An apparatus and computer program product corresponding to the method are also provided.

Abstract: A system and method for using images captured from a digital camera to control navigation through a three-dimensional user interface. The sequence of images may be examined to identify feature points to be tracked through successive frames of the images captured by the camera. A plurality of classifiers may be used to discern shift from rotation gestures, based on expected behavior of feature points in the image when the camera is shifted or rotated in position. The various classifiers may generate voting values for shift and rotation gestures, and the system can use historical gesture information to assist in categorizing a current gesture.