Abstract: The invention relates to a method for computer vision based hand gesture device control, which includes receiving 2D and 3D image information of a field of view which includes at least one user. An area of the user's hand is determined based on the 3D information and a shape of the user's hand is determined based on the 2D information. The detected shape of the hand and the position of the hand are then used to control a device.

Abstract: A system and method for computer vision based tracking of a hand may include receiving a sequence of images, the images including at least one object having a shape of a hand. A first selected feature is tracked from within the hand shaped object. Shape recognition algorithms are applied at a suspected location of the hand shaped object in an image from the sequence of images to detect a shape of a hand in the image and a second feature from within the detected shape of the hand is then selected and tracked, thereby providing verification and updating of the location of the hand shaped object.

Abstract: A method for computer vision based hand gesture device control, is provided. The method includes receiving a sequence of images of a field of view; applying a shape recognition algorithm on the sequence of images to detect a shape of a first posture of a hand; and generating a command to initiate device control based on the detection of the shape of the first posture of the hand.

Abstract: A method for computer vision based hand gesture device control, is provided. The method includes receiving a sequence of images of a field of view; applying a shape recognition algorithm on the sequence of images to detect a shape of a first posture of a hand; and generating a command to initiate device control based on the detection of the shape of the first posture of the hand.

Abstract: There is provided a method for computer vision based hand identification, the method comprising: obtaining an image of an object; detecting in the image at least two different types of shape features of the object; obtaining information of each type of shape feature; combining the information of each type of shape feature to obtain combined information; and determining that the object is a hand based on the combined information.

Abstract: A system and method for user interaction with projected content are provided. A computer generated image is projected onto a surface, the computer generated image comprising at least one symbol. The projected computer generated image is imaged to obtain a sensor image. The location of the symbol within the sensor image is detected and based on the location of the symbol in the sensor image a device may be controlled.

Abstract: A method for processing an image of a person, the method including: (i) defining a first search area in response to a value of a metric parameter and to a location of an element of interest within the image; (ii) generating an edge detection data structure, wherein some of the elements of the edge detection data structure are indicative of edges of the image which are located within an edge detection search area that is contained within the first search area; (iii) determining a contour path in the edge detection data structure in response to multiple edges of the edge detection data structure, wherein the contour path includes a single data structure element from each column of the data structure; and (iv) retrieving a face portion of the image, wherein the face portion is included within a mask that is responsive to the contour path.

Abstract: A system and method for determining a cross sectional feature of a measured structural element having a sub-micron cross section, the cross section is defined by an intermediate section that is located between a first and a second traverse sections. The method starts by a first step of scanning, at a first tilt state, a first portion of a reference structural element and at least the first traverse section of the measured structural element, to determine a first relationship between the reference structural element and the first traverse section. The first step is followed by a second step of scanning, at a second tilt state, a second portion of a reference structural element and at least the second traverse section of the measured structural element, to determine a second relationship between the reference structural element and the second traverse section.

Abstract: A system software product and a method for evaluating a mask, the method including the stages of: defining multiple CD measurement target windows; defining multiple pattern recognition windows such that the multiple CD measurements windows do not overlap the multiple pattern recognition windows, wherein each CD measurement target window and an associated pattern recognition window are positioned within a measurement area that is scannable without introducing a substantial mechanical movement; performing multiple critical dimension measurements of multiple patterns of an object being manufactured by exposing the mask to radiation, wherein the performing comprises using at least one CD measurement target window and at least one pattern recognition window; and evaluating the mask.

Abstract: A method for analyzing an image includes identifying a curved segment of a contour that is associated with noise. The curved segment is smoothed so as to reduce the noise that is associated with the curved segment, thereby providing a smoothed segment. The smoothed segment is transformed to a natural coordinate system, thereby providing a transformed segment. A line is fitted to the transformed segment in order to determine a radius of curvature of the curved segment.

Abstract: A method for processing an image of a person, the method including: (i) defining a first search area in response to a value of a metric parameter and to a location of an element of interest within the image; (ii) generating an edge detection data structure, wherein some of the elements of the edge detection data structure are indicative of edges of the image which are located within an edge detection search area that is contained within the first search area; (iii) determining a contour path in the edge detection data structure in response to multiple edges of the edge detection data structure, wherein the contour path includes a single data structure element from each column of the data structure; and (iv) retrieving a face portion of the image, wherein the face portion is included within a mask that is responsive to the contour path.

Abstract: A method, a system and a computer program product for evaluating an actual structural element of an electrical circuit. The method includes: detecting an actual structural element contour by processing a scanning electron microscope image of the actual structural element; aligning the actual structural element contour with a simulated contour to provide an aligned actual structural element contour; wherein the simulated contour is obtained by simulating a lithographic process that is responsive to a design contour; and comparing between the aligned actual structural element contour and reference information.

Abstract: A method for calibrating a metrology tool, the method includes: determining a relationship between an upper portion of a milled reference structural element and between a lower portion of the milled reference structural element; and defining a calibration parameter in response to the relationship. A metrology system that includes: a miller adapted to mill a reference structural element; and a measurement device adapted to determine a relationship between an upper portion of a milled reference structural element and between a lower portion of the milled reference structural element; wherein the metrology system is further adapted to define a calibration parameter in response to the relationship.

Abstract: A system and method for determining a cross sectional feature of a measured structural element having a sub-micron cross section, the cross section is defined by an intermediate section that is located between a first and a second traverse sections. The method starts by a first step of scanning, at a first tilt state, a first portion of a reference structural element and at least the first traverse section of the measured structural element, to determine a first relationship between the reference structural element and the first traverse section. The first step is followed by a second step of scanning, at a second tilt state, a second portion of a reference structural element and at least the second traverse section of the measured structural element, to determine a second relationship between the reference structural element and the second traverse section.

Abstract: A method of selecting key-frames (230) from a video sequence (210, 215) by comparing each frame in the video sequence with respect to its preceding and subsequent key-frames for redundancy where the comparison involves region and motion analysis. The video sequence is optionally pre-processed to detect graphic overlay. The key-frame set is optionally post-processed (250) to optimize the resulting set for face or other object recognition.

Abstract: A system, computer software product and a method for evaluating a mask, the method includes the stages of: defining multiple CD measurement target windows; defining multiple pattern recognition windows such that the multiple CD measurements windows do not overlap the multiple pattern recognition windows; wherein each CD measurement target window and an associated pattern recognition window are positioned within a measurement area that is scan-able without introducing a substantial mechanical movement; performing multiple critical dimension measurements of multiple patterns of an object being manufactured by exposing the mask to radiation; wherein the performing comprises using at least one CD measurement target window and at least one pattern recognition window; and evaluating the mask

Abstract: A method for calibrating a metrology tool, the method includes: determining a relationship between an upper portion of a milled reference structural element and between a lower portion of the milled reference structural element; and defining a calibration parameter in response to the relationship. A metrology system that includes: a miller adapted to mill a reference structural element; and a measurement device adapted to determine a relationship between an upper portion of a milled reference structural element and between a lower portion of the milled reference structural element; wherein the metrology system is further adapted to define a calibration parameter in response to the relationship.

Abstract: A method for generating an index of the text of a video image sequence is provided. The method includes the steps of determining the image text objects in each of a plurality of frames of the video image sequence; comparing the image text objects in each of the plurality of frames of the video image sequence to obtain a record of frame sequences having matching image text objects; extracting the content for each of the similar image text objects in text string format; and storing the text string for each image text object as a video text object in a retrievable medium.

Abstract: A method for analyzing an image includes identifying a curved segment of a contour that is associated with noise. The curved segment is smoothed so as to reduce the noise that is associated with the curved segment, thereby providing a smoothed segment. The smoothed segment is transformed to a natural coordinate system, thereby providing a transformed segment. A line is fitted to the transformed segment in order to determine a radius of curvature of the curved segment.