Microsoft Technology Licensing, LLC

Nokia Technologies Oy

Mobile Imaging in Sweden Ab

Precise Biometrics Ab

Scalado Ab

Johan Windmark

Gustaf Pettersson

Sami Niemi

Alexander Lindskog

Ulf Holmstedt

Shahil Soni

Esa Kankaanpää

Ari Liusaari

Gustav Träff

Tobias Karlsson

David Fredh

Martin Karlsson

Dan Spjuth

Hui Zhou

Radu Ciprian Bilcu

Timo Juhani Ahonen

Amer Mustajbasic

Daniel Gustafsson

Peter Johnson

Jens Månsson

Jörg Linke

Pasi Syvänen

Karim Benchemsi

Adam Fejne

Alexander Lindskob

Zhengrong Yao

Timothy Swyka

Timo Ahonen

In one example, a plurality of image frames captured by a digital camera unit are received. Received image frames may be still images or frames of a video sequence. Received image frames are automatically analyzed for detecting a possibility to process a plurality of image frames.

Automatic image frame processing possibility detection

An image processing apparatus is described comprising a processor configured to receive a video and digital ink annotated on the video. For at least a first frame of the video, the processor is configured to compute a model describing pixels of a bounding region of the ink. For a frame of the video, the processor is configured to compute a second region corresponding to the bounding region. The processor is configured to compute a comparison between the second region and the model and update the ink using the comparison.

Detecting occlusion of digital ink

A method for verifying liveness of a finger of a user by capturing a first fingerprint sample from the finger placed on a display by using a first sensor placed under the display. The method may involve transmitting light, by using a first light transmitting display area of the display, towards a first area of the finger. The first light transmitting display area may be smaller than a first sensor area. The first sensor may capture reflected light from the finger. The reflected light may be transmitted through the display. A first feature of the first fingerprint sample may be identified by using the reflected light. The first feature may include scattered light from the finger. The light transmitted from the display may include a first light component with a first wavelength from a first area of the display.

Method and a device for verifying liveness of a finger

An image processing apparatus is described comprising a processor configured to access a template of image elements. The processor is configured to search an image which is larger than the template to find a region which is similar to the template, where similarity is measured using a similarity metric. The similarity metric comprises a normalized cross correlation function which is modified to include at least one factor related to a statistic of both the template and the region.

Image processing system with discriminative control

An apparatus and a method for capturing a bracketing sequence of digital image frames. An apparatus includes a digital camera and at least one memory including camera settings. The apparatus further includes a processor configured to control operation of the digital camera together with the camera settings. The apparatus further includes a user interface for at least one of inputting and adjusting the camera settings. The user interface enables user to manually define an image capture sequence including a first camera setting input and a second camera setting input. The processor is configured to store the image capture sequence in the at least one memory, and to control the digital camera to capture a bracketing sequence of digital image frames using the first camera setting input and the second camera setting input.

Methods and apparatuses for capturing multiple digital image frames

An apparatus and a method for capturing image frames using interlaced exposure. The apparatus includes a digital camera and a memory. The digital camera includes an image sensor and the memory includes camera settings. The apparatus further includes a processor and a user interface. The user interface enables a user to manually input or adjust image capture parameter values including at least one first capture parameter value for a first set of pixels from the image sensor, and, at least one second capture parameter value for a second set of pixels from the image sensor. The processor controls the digital camera to expose the first set of pixels using the at least one first capture parameter value and the second set of pixels using the at least one second capture parameter value, where exposures of the first set of pixels and the second set of pixels overlap in time.

Methods and apparatuses for capturing image frames with interlaced exposure

An 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 to, with the at least one processor, cause the apparatus to perform at least the following: based on a received user selection of one or more of a plurality of displayed user selectable markers (-), the user selectable markers each corresponding to one or more of the plurality of time adjacent images in a sequence of images, causing an editing function associated with the one or more images that correspond to the selected marker.

Apparatus and associated methods for editing images

An 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 to, with the at least one processor, cause the apparatus to perform at least the following: in response to user input selecting a selectable marker (), the selectable marker marking the position of at least one identified feature () in an image which is hideable from view using a region of the image surrounding the identified feature, hide or show the identified feature.

User interface for the application of image effects to images

In an example embodiment a method, apparatus and computer program product are provided. The method includes facilitating access of a plurality of images associated with a scene comprising at least one moving object, and segmenting the plurality of images into foreground regions and background regions based on changes in corresponding image regions between the images. The foreground regions comprise the at least one moving object. The method includes determining at least one object parameter associated with the at least one moving object in the foreground regions and generating a background image based on the background regions, and modifying at least one of the foreground regions and the background image to represent a motion of the at least one moving object based on the at least one object parameter. The method includes generating a composite image based on the modified at least one of the foreground regions and the background image.

Method, apparatus and computer program product to represent motion in composite images

An apparatus for capturing two different types of light simultaneously is described. A filter array is used for filtering light arriving at an image sensor. The filter array comprises per pixel filters arranged in rows, so if a row comprises filters, they are all of the same type. Different exposure settings may be used for rows having different filter configurations.

Filter arrangement for image sensor

A method, apparatus and computer program product are provided to facilitate scene segmentation from focal stack images. The method may include receiving a set of focal stack images, calculating a focal measure for each of a plurality of pixels of the set of focal stack images, and grouping each of a plurality of pixels for which the focal measure was calculated into a plurality of super pixels. The method may also include calculating a focal measure for each of the plurality of super pixels, segmenting a respective focal stack image based on the focal measure of each of the plurality of super pixels, calculating a color probability for each of the plurality of super pixels, and segmenting each focal stack image based on color probability of each of the plurality of super pixels.

Method and apparatus for scene segmentation from focal stack images

There is disclosed a method for seamlessly replacing areas in a digital image with corresponding data from temporally close digital images depicting substantially the same scene. The method uses localized image registration error minimization over a fixed preliminary boundary. A least cost closed path which constitutes a boundary for the area to be replaced is calculated using dynamic programming. The replacement area is blended such that image data information from one image is seamlessly replaced with image data information from another image.

Digital image manipulation

A method comprising operating in a single-frame capture mode, receiving indication of a first input associated with invocation of a first zoom out operation, and transitioning from the single-frame capture mode to a first multiple-frame capture mode based, at least in part, on the first zoom out operation is disclosed.

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Lund, Sweden

Johan Windmark