Abstract: A method for segmenting images for estimating motion includes scanning block rows of an image to determine whether image blocks that are adjacent within a row are similar, and grouping similar image blocks into a row segment. If a block in a row is not similar to a preceding adjacent block, the block is used to initialize a new row segment. The method further includes calculating data for each row segment in an image, and using this data to determine whether a motion vector field for a row segment is consistent, whether discontinuities exist in a row segment that can be corrected, or whether discontinuities exist in a row segment that cannot be corrected, and correcting those row segment discontinuities that can be fixed to remove artifacts from a set of motion vectors associated with said row segment.

Abstract: Methods, devices and computer-readable mediums for detecting occlusions which occur due to foreground object movement with respect to a background between first and second successive frames. Occlusion detection may use motion estimation with respect to at least a third frame temporally preceding the first frame. Occlusion detection may be based on one or more assumptions such as: occlusion motion vectors are different than other background motion vectors; occlusion motions are likely to be similar to foreground occluding motion; and/or motion estimation will match an occlusion block with a block belonging to a common background object. Occlusion detection may be combined with motion error detection based on a motion field divergence using a motion vector assigned to the occlusion, e.g., for generating an intermediate frame in frame up rate conversion (FRUC).

Abstract: Methods, devices and computer-readable mediums for detecting occlusions which occur due to foreground object movement with respect to a background between first and second successive frames. Occlusion detection may use motion estimation with respect to at least a third frame temporally preceding the first frame. Occlusion detection may be based on one or more assumptions such as: occlusion motion vectors are different than other background motion vectors; occlusion motions are likely to be similar to foreground occluding motion; and/or motion estimation will match an occlusion block with a block belonging to a common background object. Occlusion detection may be combined with motion error detection based on a motion field divergence using a motion vector assigned to the occlusion, e.g., for generating an intermediate frame in frame up rate conversion (FRUC).

Abstract: A method for segmenting images for estimating motion includes scanning block rows of an image to determine whether image blocks that are adjacent within a row are similar, and grouping similar image blocks into a row segment. If a block in a row is not similar to a preceding adjacent block, the block is used to initialize a new row segment. The method further includes calculating data for each row segment in an image, and using this data to determine whether a motion vector field for a row segment is consistent, whether discontinuities exist in a row segment that can be corrected, or whether discontinuities exist in a row segment that cannot be corrected, and correcting those row segment discontinuities that can be fixed to remove artifacts from a set of motion vectors associated with said row segment.

Abstract: A method for selecting a motion vector includes selecting a candidate block included in a second image that corresponds to a processing block of a first image, computing a first probability for the processing block and the candidate block, selecting a random block for the candidate block, computing a second probability for the processing block and the random block, saving a greater of the first probability and the second probability as a first comparison result, computing a third probability for the processing block, a first neighboring block of the processing block, a matching block in the second image that is matched to the first neighboring block, and a second neighboring block of the matching block, and saving a greater of the first comparison result and the third probability as a second comparison result.

Abstract: Disclosed is a global motion detecting method which includes receiving a video sequence of input images, calculating local motion vectors, one for each image block of a current input image, grouping image blocks of the current input image into image block groups, calculating a group motion parameter of each of the image block groups based on local motion vectors of the image blocks in each respective image block group, and determining a global motion parameter of the currently input image according to the group motion parameters.

Abstract: Systems and methods may provide for determining a one-dimensional (1D) disparity between a plurality of rectified images, and extracting depth information from the plurality of rectified images based at least in part on the 1D disparity. In one example, the 1D disparity is in the horizontal direction and the images are rectified with respect to one another in the vertical direction.

Abstract: A method for selecting a motion vector includes selecting a candidate block included in a second image that corresponds to a processing block of a first image, computing a first probability for the processing block and the candidate block, selecting a random block for the candidate block, computing a second probability for the processing block and the random block, saving a greater of the first probability and the second probability as a first comparison result, computing a third probability for the processing block, a first neighboring block of the processing block, a matching block in the second image that is matched to the first neighboring block, and a second neighboring block of the matching block, and saving a greater of the first comparison result and the third probability as a second comparison result.

Abstract: Disclosed is a global motion detecting method which includes receiving a video sequence of input images, calculating local motion vectors, one for each image block of a current input image, grouping image blocks of the current input image into image block groups, calculating a group motion parameter of each of the image block groups based on local motion vectors of the image blocks in each respective image block group, and determining a global motion parameter of the currently input image according to the group motion parameters.

Abstract: Systems and methods may provide for determining a one-dimensional (1D) disparity between a plurality of rectified images, and extracting depth information from the plurality of rectified images based at least in part on the 1D disparity. In one example, the 1D disparity is in the horizontal direction and the images are rectified with respect to one another in the vertical direction.

Abstract: A 3-D camera is disclosed. The 3-D camera includes an optical system, a front-end block, and a processor. The front-end block further includes a combined image sensor to generate an image, which includes color information and near infra-red information of a captured object and a near infra-red projector to generate one or more patterns. The processor is to generate a color image and a near infra-red image from the image and then generate a depth map using the near infra-red image and the one or more patterns from a near infra-red projector. The processor is to further generate a full three dimensional color model based on the color image and the depth map, which may be aligned with each other.

Abstract: The disclosure relates generally to the field of printing. More specifically, the disclosure relates to an inspecting process for a printing cylinder.

Abstract: Embodiments of a frame rate conversion (FRC) method use two or more frames to detect and determine their relative motion. An interpolated frame between the two frames may be created using a derived motion, a time stamp given, and consecutive frame data. Global estimation of each frame is utilized, resulting in reduced occlusion, reduced interpolation artifacts, selective elimination of judder, graceful degradation, and low complexity.

Abstract: A method and system for measuring remotely the surface temperature of a silicon wafer and layers, without the need to know the surface emissivity. The surface temperature is measured in-situ and in real-time during a high-temperature process, in a vacuum system, by using the linear polarization property of radiation. A blackbody source is heated to various, known temperatures, and provides radiation that impinges on the silicon surface and is reflected from it together with a self-emitted component. This combined reflected radiation is polarized and filtered to an appropriate wavelength, and observed with an imaging camera. Pairs of orthogonally polarized images of the surface are obtained for a set silicon surface temperature and for each blackbody temperature. The pairs of images are analyzed, pixel by pixel, to obtain a null polar level indicative of the surface temperature.

Abstract: The disclosure relates generally to the field of printing. More specifically, the disclosure relates to an inspecting process for a printing cylinder.

Abstract: The invention relates generally to the field of printing. More specifically, the invention relates to a method and system for automatically detecting defects in a printing cylinder during its fabrication process. The invention further relates to a process for fabricating a printing cylinder.

Abstract: A method and system for measuring remotely the surface temperature of a silicon wafer and layers, without the need to know the surface emissivity. The surface temperature is measured in-situ and in real-time during a high-temperature process, in a vacuum system, by using the linear polarization property of radiation. A blackbody source is heated to various, known temperatures, and provides radiation that impinges on the silicon surface and is reflected from it together with a self-emitted component. This combined reflected radiation is polarized and filtered to an appropriate wavelength, and observed with an imaging camera. Pairs of orthogonally polarized images of the surface are obtained for a set silicon surface temperature and for each blackbody temperature. The pairs of images are analyzed, pixel by pixel, to obtain a null polar level indicative of the surface temperature.

Abstract: The present invention provides a new method for indexing a given text objects, using text parsing module and words indexing databases.

Abstract: A method for identifying the film type of a color input medium having picture and film border areas and which is scanned to produce an input image having a multiplicity of color separations having portions corresponding to the picture and border areas, the method including the steps of creating picture histograms of the picture area of the input image, defining a dark level and a bright level for each of the picture histograms and identifying a film type by comparing the dark and bright levels to predetermined thresholds defining predetermined characteristics of a given film type.