Abstract: A method for providing hand detection may include receiving feature transformed image data for a series of image frames, determining asymmetric difference data indicative of differences between feature transformed image data of a plurality of frames of the series of image frames and a reference frame, and determining a target area based on an intersection of the asymmetric difference data. An apparatus and computer program product corresponding to the method are also provided.

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: The invention concerns a gesture recognition method for gesture-based interaction at an apparatus. The method comprises receiving one or more images of an object; creating feature images for the received one or more images; determining binary values for pixels in corresponding locations of said feature images and concatenating the binary values to form a binary string for said pixel; repeating the previous step for each corresponding pixel of said feature image to form a feature map and forming a histogram representation of the feature map. The invention also concerns an apparatus and a computer program.

Abstract: A method, apparatus and computer program product are provided to permit improve gesture recognition based on fusion of different types of sensor signals. In the context of a method, a series of image frames and a sequence of radar signals are received. The method determines an evaluation score for the series of image frames that is indicative of a gesture. This determination of the evaluation score may be based on the motion blocks in an image area and the shift of the motion blocks between image frames. The method also determines an evaluation score for the sequence of radar signals that is indicative of the gesture. This determination of the evaluation score may be based upon the sign distribution in the sequence and the intensity distribution in the sequence. The method weighs each of the evaluation scores and fuses the evaluation scores, following the weighting, to identify the gesture.

Abstract: Methods, apparatuses, and computer program products are herein provided for enabling hand gesture recognition using an example infrared (IR) enabled mobile terminal. One example method may include determining a hand region in at least one captured frame using an adaptive omnidirectional edge operator (AOEO). The method may further include determining a threshold for hand region extraction using a recursive binarization scheme. The method may also include determining a hand location using the determined threshold for the extracted hand region in the at least one captured frame. The method may also include determining a fingertip location based on the determined hand location. Similar and related example apparatuses and example computer program products are also provided.

Abstract: A method for editing objects on a device comprising forming a first path on a touch screen with a pointing device. The first path at least partially encloses an object. The at least partially enclosed object is automatically selected. A second path is formed at a predetermined area on the touch screen with the pointing device. The second path activates an editing operation.

Abstract: An apparatus, method and computer program product for: receiving a trace input entered on a surface; receiving movement data describing the movement of the surface during entry of the trace input; and modifying the trace input based on the movement data.

Abstract: A method, apparatus and computer program product are provided to facilitate interaction with a computing device, such as interaction with an object viewable via a display of a computing device. In the context of a method, an object viewable via a display is identified, such as by facial recognition. The method also includes determining that the object has become aligned with an operation indicator as a result of movement of the display relative to the object. In response to determining that the object is aligned with the operation indicator, the method also performs an operation associated with the operation indicator. In this regard, a method may perform the operation upon at least one aspect associated with the object. Corresponding apparatus and computer program products are also provided.

Abstract: The present invention provides a method for image processing, a corresponding apparatus and a computer program product. The method comprises performing face detection of an image, obtaining a coarse face segmentation region of at least one face and a contour edge of the at least one face based on the face detection; and adjusting the coarse face segmentation region based on the contour edge to obtain a fine face segmentation region. By using the method, corresponding apparatus and computer program product of the present invention, the coarse face region in an image can be precisely segmented, which provides a good basis for the subsequent image processing based on the fine face segmentation region.

Abstract: An approach is provided for enhancing a communication session. The approach involves receiving a request for communicating at least substantially live video data between a device and one or more other devices. The approach also involves determining capability information, resource availability information, or a combination thereof of the device, the one or more other devices, or a combination thereof. The approach further involves processing and/or facilitating a processing of the capability information, the resource availability information, or a combination thereof to cause, at least in part, an extraction of multimodal information from the at least substantially live video data. The approach additionally involves causing, at least in part, an exchange of the multimodal information in place of at least a portion of the at least substantially live video data in response to the request.

Abstract: An apparatus for providing multi-feature based sampling for relevance feedback may include a user interface element. The user interface element may be configured to receive a query image, provide a first set of images determined to be relevant with respect to the query image, and provide a second set of images in which each image of the second set of images comprises a first relevance determination with respect to a first feature of an image and a second relevance determination for at least a second feature of the image. Each image of at least the second set of images may include an associated user interface item to enable a user to provide relevance feedback with respect to each image of the second set of images.

Abstract: A method for editing objects on a device comprising forming a first path on a touch screen with a pointing device. The first path at least partially encloses an object. The at least partially enclosed object is automatically selected. A second path is formed at a predetermined area on the touch screen with the pointing device. The second path activates an editing operation.

Abstract: A method, apparatus and computer program product are provided in order to augment an index image generated by a near eye display in order to more clearly present at least a portion of the index image. In the context of a method, a position of the mobile terminal relative to an index image generated by a near eye display is determined. The method also determines an image to be presented by the mobile terminal based upon the index image and the position of the mobile terminal relative to the index image. The method also causes the image to be presented by the mobile terminal. A corresponding apparatus and a computer program product are also provided.

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: A method for providing a mechanism for gesture recognition may include causing down-sampling of image data received to generate down-sampled image blocks for a plurality of image frames, causing extraction of a plurality of features from the down-sampled image blocks, determining a moving status of the down-sampled image blocks based on changes in values of respective features in consecutive frames, and determining a direction of motion of an object in the image data based on movement of a first border and a second border of a projection histogram determined based on the moving status of respective down-sampled image blocks. A corresponding apparatus and computer program product are also provided.

Abstract: A free hand gesture control user interface is described. Components of the interface system may include a stereo vision camera, or multiple cameras, a control unit, a projector and a projecting surface. In an automotive application, the projecting surface may be the windscreen in the vehicle or a mounted screen. The camera together with software modules in the control unit define a gesture acceptance border and a gesture acceptance space within which hand gestures may be imaged, defined for various control actions, and executed. The hand images are analyzed in slices of the gesture acceptance space to determine hand orientation (open or closed) and/or motion.

Abstract: An example apparatus is caused to receive a video sequence of a plurality of frames, and perform a number of operations as each of at least some of the frames is received but before all of the frames are received. The apparatus is caused to calculate a score for the frame, and compare the score for the frame to a predefined threshold. The apparatus is caused to cause output of the frame as a key frame in an instance in which the frame is received within a specified period of time and the score for the frame is above the predefined threshold. Otherwise, in an instance in which none of the scores for frames received within the specified period of time is above the predefined threshold, the apparatus is caused to cause output of one of the frames received within the specified period of time as a key frame.

Abstract: A method for providing hand detection may include receiving feature transformed image data for a series of image frames, determining asymmetric difference data indicative of differences between feature transformed image data of a plurality of frames of the series of image frames and a reference frame, and determining a target area based on an intersection of the asymmetric difference data. An apparatus and computer program product corresponding to the method are also provided.

Abstract: An example apparatus is caused to receive a video sequence of a plurality of frames, and activate one of a plurality of available decoding processes based on a comparison of a size of the frames to a predefined threshold. The apparatus is also caused to select some but not all of the frames of the video sequence as potential key frames of the video sequence. The selected frames are located at or close to predefined positions along a length of the video sequence. The apparatus is also caused to decode the potential key frames according to the activated decoding process, and cause output of at least some of the potential key frames as key frames of the video sequence. The apparatus may be caused to discard from the potential key frames, one or more plain frames and/or a frame identified as being similar to other potential key frames.

Abstract: An approach is provided for providing collaborative recognition using media segments. The recognition platform causes, at least in part, a generation of a request to determine recognition information for one or more media items associated with a device, one or more segments of the one or more media items, or a combination thereof. Next, the recognition platform determines to transmit the request to one or more other devices based, at least in part, on one or more device selection criteria. Then, the recognition platform receives the recognition information in response to the request. Further, the recognition platform processes and/or facilitates a processing of the recognition information to determine one or more identities of one or more users, one or more objects, or a combination thereof represented in the one or more media items.