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: Methods and apparatuses are provided for facilitating object recognition. A method may include accessing data for a first object and data for a second object. The method may additionally include comparing the first and second objects based at least in part upon a reference set and training results generated based at least in part upon the reference set and training data. The method may further include determining whether the first object and the second object are the same object based at least in part upon the comparison. Corresponding apparatuses are also provided.

Abstract: Embodiments of the present invention relate to a method and apparatus for image enhancement. In particular, there is provided a method for image enhancement, the method comprising: estimating unsharpness of the image (S201-S204); determining a protection level of at least one pixel in the image based on the unsharpness (S205); and modifying a value of the at least one pixel to enhance the image, an amount of the modifying being determined at least in part based on the protection level (S206-S210). A corresponding apparatus and user device are disclosed. The invention may be applied to fog or haze removal from images or video without producing over-removal artifacts. In some embodiments, the invention may also be used to remove noise from low-light images.

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.

Abstract: A method and a technical equipment for people identification. The method comprises detecting a person segment in video frames; extracting feature vector sets for several feature categories from the person segment; generating a person feature model of the extracted feature vectors sets; and transmitting the person feature model to a people identification model pool. The solution can provide more extensive people identification.

Abstract: Embodiments of the present invention relate to a method and apparatus for live user recognition. There is disclosed a method for live user recognition. The method comprises: obtaining an image containing a face; while recognizing the face based on the image, detecting whether gaze of the face moves into proximity of a random position on a display screen every time an object is displayed at the random position; and determining whether the image is obtained from the live user based on the detection. The corresponding apparatus is disclosed as well.

Abstract: An apparatus, the apparatus comprising at least one processor, and at least one memory including computer program code, the at least one memory and the computer program code configured, with the at least one processor, to cause the apparatus to perform at least the following: based on a detected user position indication of a facial feature associated with a face, provide for anchoring of the position of a corresponding computer generated facial feature so that facial landmark localisation for the corresponding computer generated facial feature can be anchored around the corresponding position on a computer generated image of the face.

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

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: Apparatus including a first liquid crystal layer configured to receive at least a portion of an image and to provide the portion of the image across an angular viewing range; first substantially transparent electrodes positioned adjacent the first liquid crystal layer, the first electrodes being configured to have at least a first configuration in which a first subset of the electrodes provide electric fields across the first liquid crystal layer to form first transparent regions and first opaque regions in the first liquid crystal layer to provide a first angular viewing range, and a second configuration in which a second subset of the electrodes provide electric fields across the first liquid crystal layer to form second different transparent regions and second different opaque regions in the first liquid crystal layer to provide a second angular viewing range, having a different angular viewing range to the first angular viewing range.

Abstract: The invention relates to a method, comprising tracking the gaze of an eye of a user by a first camera, wherein a position of the gaze determines a place for the cursor on the screen of a near-to-eye display (NED), wherein the movement of the gaze is configured to move the cursor on the screen and when the movement of the gaze is detected to be still or moving only slightly; observing a gesture of one hand of the user by a second camera, and executing a further operation if at least one gesture of the hand is detected. The invention further relates to an apparatus and a computer program product configured to perform the method.

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: It is inter alia disclosed to classify samples of a set of samples of an image regarding whether or not a respective sample comprises optical information on a specific object type based on classification information. Therein, the classification information comprises a plurality of classifiers, each classifier being associated exclusively with one colour channel of a plurality of colour channels.

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 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: 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: An apparatus, comprising a processor, a 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 a first image, recognizing at least part of the first image as a command receiver, recognizing at least part of the first image as an input article, determining that at least part of the input article is associated with at least part of the command receiver, and causing display of a guidance associated with the command receiver is disclosed.

Abstract: A method, apparatus and computer program product for an improved facial recognition system are provided. Some embodiments may utilize a weighted block division of an image and capture a property measurement for pixels residing within a block. The measurements may be converted to vectors, compressed, and compared against compressed vectors of enrolled images to identify a characteristic or an image of a matching subject. Training processes may be utilized in order to optimize block divisions and weights.