Abstract: A system and method determining a camera pose. The method comprises receiving a first image and a second image, the first and second images being associated with a camera pose and a height map for pixels in each corresponding image, and determining a mapping between the first image and the second image using the corresponding height maps, the camera pose and a mapping of the second image to an orthographic view. The method further comprises determining alignment data between the first image transformed using the determined mapping and the second image and determining a refined camera pose based on the determined alignment data and alignment data associated with at least one other camera pose.

Abstract: A displacement field relating positions of pixels between at least two images having an initial displacement field is adjusted. Each pixel of the first image and the second image is associated with a label. A first pixel in the first image maps to a second pixel in the second image based on a vector of the initial displacement field. A set of third pixels includes the second pixel and a plurality of adjacent pixels to the second pixel, the third pixels being associated with labels and a candidate shift vector with respect to the second pixel. A covariance score is determined for each of the third pixels, the covariance score defining a statistical dependence between the first label of the first pixel and each of the third labels. An adjustment shift vector is then determined based on the covariance scores and the candidate shift vectors of the third pixels.

Abstract: A method of combining object data captured from an object, the method comprising: receiving first object data and second object data, the first and second object data comprising intensity image data and three-dimensional geometry data of the object; synthesising a first fused image of the object and a second fused image of the object by fusing the respective intensity image data and the respective three-dimensional geometry data of the object illuminated by a directional lighting arrangement produced by a directional light source, the directional lighting arrangement produced by the directional light source being different to a lighting arrangement used to capture at least one of the first object data and the second object data; aligning the first fused image and the second fused image; and combining the first object data and the second object data.

Abstract: A system and method determining a camera pose. The method comprises receiving a first image and a second image, the first and second images being associated with a camera pose and a height map for pixels in each corresponding image, and determining a mapping between the first image and the second image using the corresponding height maps, the camera pose and a mapping of the second image to an orthographic view. The method further comprises determining alignment data between the first image transformed using the determined mapping and the second image and determining a refined camera pose based on the determined alignment data and alignment data associated with at least one other camera pose.

Abstract: A method for processing microscopy images captures, for each of a first microscopy slide and a second microscopy slide, a plurality of partial spectrum images under multiple optical configurations where each image captures a different portion of the spectrum of the slide. First and second partial spectrum images associated with different optical configuration are selected and used to reconstruct respectively a combined spectrum image of part of the first microscopy slide and a combined spectrum image of at least part of the second microscopy slide, thereby forming a first pair of partial spectrum images. The method determines a distortion map by aligning images derived from the first pair of the partial spectrum images.

Abstract: A method for registering images aligns a fixed image with a corresponding moving image. A target image and a reference image are selected. The reference and target images are relatively low-res representations of the fixed and moving images respectively. A current image distortion map is determined that defines distortions between the target and reference images. A residual image is determined by comparing the reference image and a warped target image derived from the target image based on the current image distortion map. A residual image distortion map is determined based on transform coefficients of cosine functions fitted to the residual image. The coefficients are determined by applying a DCT to a signal formed by the residual image and image gradients of the warped target or reference image. The current image distortion map is combined with the residual image distortion map to align the fixed image and the moving image.

Abstract: A displacement field relating positions of pixels between at least two images having an initial displacement field is adjusted. Each pixel of the first image and the second image is associated with a label. A first pixel in the first image maps to a second pixel in the second image based on a vector of the initial displacement field. A set of third pixels includes the second pixel and a plurality of adjacent pixels to the second pixel, the third pixels being associated with labels and a candidate shift vector with respect to the second pixel. A covariance score is determined for each of the third pixels, the covariance score defining a statistical dependence between the first label of the first pixel and each of the third labels. An adjustment shift vector is then determined based on the covariance scores and the candidate shift vectors of the third pixels.

Abstract: Disclosed is a computer implemented method for identifying a component tile within a target image. The method receives a plurality of distinct component tiles and overlays the plurality of component tiles to form an overlaid image. The overlaying is based on an embedded parameter value for each component tile. The method compares the target image with the overlayed image to determine a matching parameter value, and identifies a component tile within the target image by determining that the embedded parameter value of the component tile is the closest of the embedded parameter values to the matching parameter value.

Abstract: A method for processing microscopy images captures, for each of a first microscopy slide and a second microscopy slide, a plurality of partial spectrum images under multiple optical configurations where each image captures a different portion of the spectrum of the slide. First and second partial spectrum images associated with different optical configuration are selected and used to reconstruct respectively a combined spectrum image of part of the first microscopy slide and a combined spectrum image of at least part of the second microscopy slide, thereby forming a first pair of partial spectrum images. The method determines a distortion map by aligning images derived from the first pair of the partial spectrum images.

Abstract: Method, system and calibration marker for calibrating a three-dimensional printer. The method includes the steps of providing an image of a calibration marker to the three-dimensional printer; forming a calibration marker based on the provided image by depositing toner material on a first substrate of the printer, the calibration marker having a feature size and being fully interconnected to impart structural integrity to the calibration marker, and having annular spectral energy concentrated at a radius determined by the feature size of the calibration marker, wherein the interconnectedness and feature size of the calibration marker enables the structural integrity of the calibration marker to be maintained during transfer; transferring the formed calibration marker from the first substrate to a second substrate of the printer; and calibrating the printer from a determination of distortion introduced to the calibration marker during the forming and the transferring of the calibration marker.

Abstract: A method for selecting a representative image of an eye from a plurality of captured images, comprises associating neighboring images from the plurality of images with each other to determine a spatial relationship (shift) of the images and an initial quality value for each image. The method determines an accumulated quality value for at least one portion of each image using the initial quality values corresponding to those other images of the plurality of images that are spatially related with the portion. The spatial relationship between a portion of an image and the other images is identified based of the determined spatial arrangement of the images. The method selects a representative image from the plurality of images using, for each image, at least the initial quality value for the image and the accumulated quality value of at least one portion of the image.

Abstract: Disclosed is method of measuring the displacement between a reference region of a reference image and a sample region of a sample image. The method spatially varies the reference region using a one-dimensional filter having complex kernel values, wherein a length (radius) and direction (angle or tangent segment) of the filter is a function of position in the reference region. The method then measures a displacement between the reference region and the sample region by comparing the spatially varied reference region and the sample region.

Abstract: A method for determining a phase for a captured image, the method comprising forming a demodulated image defining wrapped phase values and modulation values, each being associated with at least one region in the captured image; identifying a position of an edge in the captured image dependent upon the modulation values; determining a position of substantial change in the wrapped phase values in the captured image dependent upon the identified position of the edge, and determining at least one unwrapped phase value based on the position of the edge and the position of the substantial change in the wrapped phase values by shifting a position of the substantial change in the wrapped phase values to the identified position of the edge, so that said unwrapped phase value is adjusted by at least one cycle.

Abstract: A method for registering images aligns a fixed image with a corresponding moving image. A target image and a reference image are selected. The reference and target images are relatively low-res representations of the fixed and moving images respectively. A current image distortion map is determined that defines distortions between the target and reference images. A residual image is determined by comparing the reference image and a warped target image derived from the target image based on the current image distortion map. A residual image distortion map is determined based on transform coefficients of cosine functions fitted to the residual image. The coefficients are determined by applying a DCT to a signal formed by the residual image and image gradients of the warped target or reference image. The current image distortion map is combined with the residual image distortion map to align the fixed image and the moving image.

Abstract: A method of demodulating an image captured from an imaging system having at least one two-dimensional grating. The captured image comprises a phase modulated fringe pattern comprising cross-term phase components resulting from presence of the at least one two-dimensional grating. The method determines parameters of at least a first non-linear transformation for attenuating the cross-term phase components. The parameters of the first non-linear transformation are determined for the imaging system to reduce artefacts in a demodulated image introduced by the cross-term phase components. The method demodulates the captured image by applying at least the first non-linear transformation with the determined parameters to the captured image to attenuate the cross-term phase components.

Abstract: Disclosed is a computer implemented method for identifying a component tile within a target image. The method receives a plurality of distinct component tiles and overlays the plurality of component tiles to form an overlaid image. The overlaying is based on an embedded parameter value for each component tile. The method compares the target image with the overlayed image to determine a matching parameter value, and identifies a component tile within the target image by determining that the embedded parameter value of the component tile is the closest of the embedded parameter values to the matching parameter value.

Abstract: Methods for determining a depth measurement of a scene which involve capturing at least two images of the scene with different camera parameters, and selecting corresponding image patches in each scene. A first approach calculates a plurality of complex responses for each image patch using a plurality of different quadrature filters, each complex response having a magnitude and a phase, assigns, for each quadrature filter, a weighting to the complex responses in the corresponding image patches, the weighting being determined by a relationship of the phases of the complex responses, and determines the depth measurement of the scene from a combination of the weighted complex responses.

Abstract: A method for determining a phase for a captured image, the method comprising forming a demodulated image defining wrapped phase values and modulation values, each being associated with at least one region in the captured image; identifying a position of an edge in the captured image dependent upon the modulation values; determining a position of substantial change in the wrapped phase values in the captured image dependent upon the identified position of the edge, and determining at least one unwrapped phase value based on the position of the edge and the position of the substantial change in the wrapped phase values by shifting a position of the substantial change in the wrapped phase values to the identified position of the edge, so that said unwrapped phase value is adjusted by at least one cycle

Abstract: A method for selecting a representative image of an eye from a plurality of captured images, comprises associating neighbouring images from the plurality of images with each other to determine a spatial relationship (shift) of the images and an initial quality value for each image. The method determines an accumulated quality value for at least one portion of each image using the initial quality values corresponding to those other images of the plurality of images that are spatially related with the portion. The spatial relationship between a portion of an image and the other images is identified based of the determined spatial arrangement of the images. The method selects a representative image from the plurality of images using, for each image, at least the initial quality value for the image and the accumulated quality value of at least one portion of the image.

Abstract: A method determines at least one image value of a corresponding desired output position of an output image from an input image. An orientation of an edge passing through the output position is determined in a localised region of the input image. A frequency spectrum for the region of the input image is extended. A main frequency band of the edge is aligned in the extended frequency spectrum parallel to a first sampling axis of a grid based on the orientation of the edge. The grid is selected from a set of the input and output grids. The aligned main frequency band is filtered along a second sampling axis of the grid, orthogonal to the first sampling axis, the filter removing frequencies associated with replica bands and maintaining the main frequency band. The image value is determined from the filtered edge at the desired output position.