Abstract: Systems and methods for 3D image scanner for real-time, dynamic 3D surface imaging are disclosed. Embodiments of the present system and methods describe a system and method including a first and/or second, camera, and projector projecting structured light with fringe patterns onto a 3D object, and a processor configured to extract a phase map and a texture image from the image, and to calculate depth information from the phase map by the processor. Embodiments further describe methods and systems for determining an wrapped phase from the images using the Hilbert transformation, generating an absolute phase from the wrapped phase using the combination of a quality-guidance path following algorithm, a double wavelength phase unwrap algorithm, or a Markov Random field method, and generating a phase map from the absolute phase to determine depth information of the 3D object.

Abstract: A method of, and a system and a label for, authenticating an object in situ create an authentication pattern signature for the object to be authenticated, associate a random distribution of multiple, three-dimensional elements with the object, aim a portable, handheld, image capture device at the object to capture return light from the elements as a single image, verify from the single image that the elements are three-dimensional, process the single image to generate an image pattern of the elements, compare the image pattern with the authentication pattern signature, and indicate that the object is authentic when the image pattern matches the authentication pattern signature.

Abstract: A method of, and a system and a label for, authenticating an object in situ create an authentication pattern signature for the object to be authenticated, associate a random distribution of multiple, three-dimensional elements with the object, aim a portable, handheld, image capture device at the object to capture return light from the elements as a single image, verify from the single image that the elements are three-dimensional, process the single image to generate an image pattern of the elements, compare the image pattern with the authentication pattern signature, and indicate that the object is authentic when the image pattern matches the authentication pattern signature.

Abstract: A method of, and a system and a label for, authenticating an object in situ create an authentication pattern signature for the object to be authenticated, associate a random distribution of multiple, three-dimensional elements with the object, aim a portable, handheld, image capture device at the object to capture return light from the elements as a single image, verify from the single image that the elements are three-dimensional, process the single image to generate an image pattern of the elements, compare the image pattern with the authentication pattern signature, and indicate that the object is authentic when the image pattern matches the authentication pattern signature.

Abstract: In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.

Abstract: A method of, and a system and a label for, authenticating an object in situ create an authentication pattern signature for the object to be authenticated, associate a random distribution of multiple, three-dimensional elements with the object, aim a portable, handheld, image capture device at the object to capture return light from the elements as a single image, verify from the single image that the elements are three-dimensional, process the single image to generate an image pattern of the elements, compare the image pattern with the authentication pattern signature, and indicate that the object is authentic when the image pattern matches the authentication pattern signature.

Abstract: Disclosed is a method and apparatus for detection of a bladder wall tumor. Layers of a bladder wall are created by magnetic resonance imaging. A group of voxels having a lowest intensity is identified in a layer and an energy function modification enlarges the layer of the bladder wall. A partial volume image segmentation obtains tissue type mixture percentages in each voxel near inner and outer borders of the bladder wall in the layer of the bladder wall to obtain a bladder wall thickness. A range of uncertainty at the inner and outer borders of the bladder wall is obtained, and integration is performed of the bladder wall thickness along a path starting at a point on the outer border and ending at a corresponding point on the inner border.

Abstract: A method and associated apparatus for capturing an image of a 3D object (100) which encodes the surface geometry of at least a portion of the object, comprising: 1. projecting (304) a plurality of fringe patterns (312A, 314A) onto the object; 2. capturing (306) phase alterations in reflections of the fringe patterns (312B, 314B) from the object; 3. projecting a uniform image (310A) onto the object; 4. capturing a reflection of the uniform image (310B) from the object; and 5. combining (310) captured phase alterations and captured uniform image reflection on a pixel-by-pixel basis, thereby forming a holoimage representation of the object.

Abstract: In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.

Abstract: A method and associated apparatus for capturing an image of a 3D object (100) which encodes the surface geometry of at least a portion of the object, comprising: 1. projecting (304) a plurality of fringe patterns (312A, 314A) onto the object; 2. capturing (306) phase alterations in reflections of the fringe patterns (312B, 314B) from the object; 3. projecting a uniform image (310A) onto the object; 4. capturing a reflection of the uniform image (310B) from the object; and 5. combining (310) captured phase alterations and captured uniform image reflection on a pixel-by-pixel basis, thereby forming a holoimage representation of the object.

Abstract: A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database.

Abstract: A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database.

Abstract: A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database.

Abstract: A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database.