Abstract: A computer-implemented method of annotating conventional retina images, the method comprising: receiving a conventional image of a retina, the conventional retina image captured using an image capture device; receiving an associated crosssectional image of said retina, the cross-sectional image captured using a crosssectional imaging system; determining a disease location in an image plane of the cross-sectional image; and generating annotation data for annotating the disease location in an image plane of the conventional image, by projecting the disease location from the image plane of the cross-sectional image into to the image plane of the conventional image, based on a known mapping between the cross-sectional image and the conventional image.

Abstract: A computer-implemented method of annotating conventional retina images, the method comprising: receiving a conventional image of a retina, the conventional retina image captured using an image capture device: receiving an associated crosssectional image of said retina, the cross-sectional image captured using a crosssectional imaging system: determining a disease location in an image plane of the cross-sectional image: and generating annotation data for annotating the disease location in an image plane of the conventional image, by projecting the disease location from the image plane of the cross-sectional image into to the image plane of the conventional image, based on a known mapping between the cross-sectional image and the conventional image.

Abstract: A method for remotely controlling a computing device comprises repeatedly capturing an image from a video frame, detecting a human face in the captured image, matching the detected human face to a previously detected human face, extracting facial landmarks from the matched detected human face, estimating a 3D head pose of the matched detected human face based on the extracted facial landmarks, the 3D head pose being represented in an egocentric coordinate system by a 3D pose vector which is directed from the human face, the 3D pose vector being free to rotate around x-, y- and z-axes of the egocentric coordinate system using respective rotation matrices and free to translate along these x-, y- and z-axes using a translation vector, and controlling a user interface on a display screen of the computing device according to the estimated 3D head pose.

Abstract: A method for remotely controlling a computing device comprises repeatedly capturing an image from a video frame, detecting a human face in the captured image, matching the detected human face to a previously detected human face, extracting facial landmarks from the matched detected human face, estimating a 3D head pose of the matched detected human face based on the extracted facial landmarks, the 3D head pose being represented in an egocentric coordinate system by a 3D pose vector which is directed from the human face, the 3D pose vector being free to rotate around x-, y- and z-axes of the egocentric coordinate system using respective rotation matrices and free to translate along these x-, y- and z-axes using a translation vector, and controlling a user interface on a display screen of the computing device according to the estimated 3D head pose.

Abstract: The present invention is a test mechanism for structural defect detection of a test object (400).

Abstract: The present invention is a fiducial marker (1) comprising an external region (11), an inner region (12) positioned inside said external region (11) and which has a substantially contrast color with respect to the external region (11), and at least one pattern element (131) positioned inside said inner region (12) and which has a substantially contrast color with respect to the inner region (12); in order to be sensed by means of an image sensor (2). Said fiducial marker (1) is characterized in that the external region (11) has a polygonal periphery, and the inner region (12) has a substantially circular or elliptical periphery, and said pattern elements (131) have a circular or elliptical form.

Abstract: The present invention is a computer-based character input method in order to provide the user to type by means of eye (6) movements, where, an on-screen keyboard interface (2), comprising the key segments (21) accommodating at least one typing character, is presented to a display unit (5), the typing character, provided in the key segment (21) corresponding to the point where the eye (6) gazes at the display unit (5), is selected and presented to the user in accordance with the data taken from an eye tracking device (1) which senses the eye (6) position of the user gazing at said display unit (5).

Abstract: The present invention is a fiducial marker (1) comprising an external region (11), an inner region (12) positioned inside said external region (11) and which has a substantially contrast color with respect to the external region (11), and at least one pattern element (131) positioned inside said inner region (12) and which has a substantially contrast color with respect to the inner region (12); in order to be sensed by means of an image sensor (2). Said fiducial marker (1) is characterized in that the external region (11) has a polygonal periphery, and the inner region (12) has a substantially circular or elliptical periphery, and said pattern elements (131) have a circular or elliptical form.

Abstract: The present invention is a test mechanism for structural defect detection of a test object (400).

Abstract: The present invention is a guide system (10) for indicating the position where the tags, logos and similar surface items, which are to be attached onto the products (200), are to be attached, characterized in that the subject matter guide system (10) comprises an image taking device (110) taking the image of the product (200) and a projector (120) which can project image onto the product (200) and a processor unit (130) which can communicate with said projector (120) and said image taking device (110), and said guide unit is configured such that said processor unit (130) will calculate the 3 dimensional pose of the product (200) from the image received from the image taking device (110), said processor unit (130) will receive at least one guide image (300) from a guide database (150) and will edit said guide image (300) in accordance with the calculated pose and said processor unit (130) will transfer the edited image to the projector (120) in order to project said edited image onto the product.