Abstract: Imaging systems may be provided with image sensors for capturing images. An image sensor may include storage and processing circuitry having a conformal image buffer to be used in performing various types of image transformations on captured input images. The storage and processing circuitry may perform the image transformations, in part, by storing a portion of a captured input image in the conformal image buffer. A conformal image buffer may include a buffer for storing input image pixel values specific to various types of image transformations and memory for storing a pixel buffer lookup table. The pixel buffer lookup table may be used by the storage and processing circuitry to determine which input image pixel values should be stored in the conformal image buffer for each type of image transformation and to provide random read access to the stored input image pixel values in the conformal image buffer.

Abstract: A self calibrating stereo camera includes first and second spatial transform engines for directly receiving first and second images, respectively, of an object. The first and second spatial transform engines are coupled to a stereo display for displaying a fused object in stereo. A calibration module is coupled to the first and second spatial transform engines for aligning the first and second images, prior to display to a viewer. The first and second point extracting modules, respectively, receive the first and second images for extracting interest points from each image. A matching points module is coupled to the first and second point extracting modules for matching the interest points extracted by the first and second point extracting modules. The calibration module determines alignment error between the first and second images, in response to the interest point matches calculated by the matching points module.

Abstract: Interest points are markers anchored to a specific position in a digital image of an object. They are mathematically extracted in such a way that, in another image of the object, they will appear in the same position on the object, even though the object may be presented at a different position in the image, a different orientation, a different distance or under different lighting conditions. The goal is to match interest points in one image with corresponding interest points in another image. Typically, this involves the construction of a descriptor, which is both computationally expensive and resource-intensive. Methods and devices are described that match interest points without the construction of conventional descriptors and that permit the use of spatial coherency information to increase the accuracy of the match.

Abstract: Imaging systems may be provided with image sensors for capturing images. An image sensor may include storage and processing circuitry having a conformal image buffer to be used in performing various types of image transformations on captured input images. The storage and processing circuitry may perform the image transformations, in part, by storing a portion of a captured input image in the conformal image buffer. A conformal image buffer may include a buffer for storing input image pixel values specific to various types of image transformations and memory for storing a pixel buffer lookup table. The pixel buffer lookup table may be used by the storage and processing circuitry to determine which input image pixel values should be stored in the conformal image buffer for each type of image transformation and to provide random read access to the stored input image pixel values in the conformal image buffer.

Abstract: Interest points are markers anchored to a specific position in a digital image of an object. They are mathematically extracted in such a way that, in another image of the object, they will appear in the same position on the object, even though the object may be presented at a different position in the image, a different orientation, a different distance or under different lighting conditions. The goal is to match interest points in one image with corresponding interest points in another image. Typically, this involves the construction of a descriptor, which is both computationally expensive and resource-intensive. Methods and devices are described that match interest points without the construction of conventional descriptors and that permit the use of spatial coherency information to increase the accuracy of the match.

Abstract: Methods, systems and apparatuses for correcting the sensitivity of pixel signals, the pixel signal correction values being determined based on an elliptical hyperbolic cosine function. The function may further be a rotated elliptical hyperbolic cosine function or a polynomial derived from the rotated elliptical hyperbolic cosine function. Using these functions to represent the correction values in memory allows for on-chip storage of the means to determine the correction values.