Abstract: System and method for programmatically generating a second graphical program associated with a second programming development environment based on a first graphical program associated with a first programming development environment. The second graphical program may be generated programmatically, without relying on user input, or may prompt for user input to determine various options to use in generating the second graphical program. The second graphical program may implement the functionality of, or a portion of the functionality of, the first graphical program. The method preferably generates the second graphical program such that the second programming development environment is operable to treat the second graphical program identically to a graphical program interactively developed by a user using the second programming development environment.

Abstract: System and method for estimating a rotational shift between a first discrete curve and a second discrete curve, where the second discrete curve is a rotationally shifted version of the first discrete curve. First and second discrete curves are received. A rotational shift between the first discrete curve and the second discrete curve is estimated based on the first discrete curve and the second discrete curve. A cumulative rotational shift is updated based on the estimated rotational shift. A rotationally shifted version of the second discrete curve is generated based on the cumulative rotational shift. The estimating, updating, and generating are performed in an iterative manner using the respective rotationally shifted discrete curve for each iteration until a stopping condition occurs, thereby determining a final estimate of the rotational shift between the first discrete curve and the second discrete curve. The final estimate may be used to perform curve matching.

Abstract: System and method for estimating a rotational shift between a first discrete curve and a second discrete curve, where the second discrete curve is a rotationally shifted version of the first discrete curve. First and second discrete curves are received. A rotational shift between the first discrete curve and the second discrete curve is estimated based on the first discrete curve and the second discrete curve. A cumulative rotational shift is updated based on the estimated rotational shift. A rotationally shifted version of the second discrete curve is generated based on the cumulative rotational shift. The estimating, updating, and generating are performed in an iterative manner using the respective rotationally shifted discrete curve for each iteration until a stopping condition occurs, thereby determining a final estimate of the rotational shift between the first discrete curve and the second discrete curve. The final estimate may be used to perform curve matching.

Abstract: A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.

Abstract: A system and method for automatically generating a second graphical program based on a first graphical program. The first graphical program may be associated with a first programming development environment. For example, a user may have interactively created the first graphical program from within the first programming development environment, e.g., by using an editor to place various nodes on a block diagram, such that the nodes visually indicate functionality of the first graphical program. The method may operate to automatically, i.e., automatically, generate a second graphical program based on the first graphical program, such that the second graphical program is associated with a second programming development environment. The method may generate the second graphical program automatically, without relying on user input, or may prompt for user input to determine various options to use in generating the second graphical program.

Abstract: System and method for programmatically generating a second graphical program associated with a second programming development environment based on a first graphical program associated with a first programming development environment. The second graphical program may be generated programmatically, without relying on user input, or may prompt for user input to determine various options to use in generating the second graphical program. The second graphical program may implement the functionality of, or a portion of the functionality of, the first graphical program. The method preferably generates the second graphical program such that the second programming development environment is operable to treat the second graphical program identically to a graphical program interactively developed by a user using the second programming development environment.

Abstract: System and method for estimating a rotational shift between a first discrete curve and a second discrete curve, where the second discrete curve is a rotationally shifted version of the first discrete curve. First and second discrete curves are received. A rotational shift between the first discrete curve and the second discrete curve is estimated based on the first discrete curve and the second discrete curve. A cumulative rotational shift is updated based on the estimated rotational shift. A rotationally shifted version of the second discrete curve is generated based on the cumulative rotational shift. The estimating, updating, and generating are performed in an iterative manner using the respective rotationally shifted discrete curve for each iteration until a stopping condition occurs, thereby determining a final estimate of the rotational shift between the first discrete curve and the second discrete curve. The final estimate may be used to perform curve matching.

Abstract: System and method for estimating a rotational shift between a first discrete curve and a second discrete curve, where the second discrete curve is a rotationally shifted version of the first discrete curve. First and second discrete curves are received. A rotational shift between the first discrete curve and the second discrete curve is estimated based on the first discrete curve and the second discrete curve. A cumulative rotational shift is updated based on the estimated rotational shift. A rotationally shifted version of the second discrete curve is generated based on the cumulative rotational shift. The estimating, updating, and generating are performed in an iterative manner using the respective rotationally shifted discrete curve for each iteration until a stopping condition occurs, thereby determining a final estimate of the rotational shift between the first discrete curve and the second discrete curve. The final estimate may be used to perform curve matching.

Abstract: Automatic conversion of textual program code to graphical program code is performed. The method automatically translates the given functionality of a textual program code into executable graphical program code, corresponding to the same functionality. The method includes a parsing routine that generates a syntax tree and code generation routines, which create graphical program code from the syntax tree.

Abstract: Automatic conversion of textual program code to graphical program code is performed. The method automatically translates the given functionality of a textual program code into executable graphical program code, corresponding to the same functionality. The method includes a parsing routine that generates a syntax tree and code generation routines, which create graphical program code from the syntax tree.

Abstract: System and method for detecting symmetries of configurations of discrete curves. Configuration characterization information for a configuration of a plurality of discrete curves is received, where the configuration characterization information comprises rotational symmetry groups for each of the plurality of discrete curves. A greatest common divisor of the rotational symmetry groups of the discrete curves is determined, where the greatest common divisor is a maximum possible object-based mutual rotational symmetry group for the configuration. The determined value is stored, and is usable to perform pattern matching between configurations. This value may be compared to that of a target configuration to determine if the two configurations can match.

Abstract: A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.

Abstract: System and method for detecting symmetries of discrete curves. A mapping operator is applied to a first discrete curve to amplify its features, generating a first mapped discrete curve. A correlation of the first mapped discrete curve with each of a plurality of rotationally shifted versions of a second mapped discrete curve is computed, generating a corresponding plurality of correlation values. A minimum period of the two curves is determined based on the correlation values, and, based on the minimum period, a symmetry group (SG) of the two curves is determined and output. If the two curves are the same curve, the SG is the rotational SG of the discrete curve. If the second curve is a reflection of the first, the SG is the mutual reflection SG of the first. If the first and second curves are different curves, the SG is the mutual SG of the two curves.

Abstract: A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.

Abstract: A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.

Abstract: System and method for characterizing configurations of discrete curves based on detected symmetries in the configuration. A configuration of discrete closed curves is received. A plurality of configuration rotational symmetry sub-groups of the configuration are determined, each associated with one or more of the discrete curves, and based on each curve's distance from a configuration center of mass, equivalence class, rotational symmetry group, and sub-configuration rotational symmetry group.

Abstract: A system and method for programmatically generating a graphical program or a portion of a graphical program in response to receiving program information is disclosed. During execution of a graphical program generation (GPG) program, the GPG program receives program information specifying functionality of the graphical program to be generated. In one embodiment the program information does not specify specific nodes in the graphical program or connections among the nodes. In response to the program information, the GPG program programmatically generates a graphical program (or graphical program portion) that implements the specified functionality.

Abstract: System and method for determining the presence of an object of interest in a target data set. Portions of a target data set may be located that match an object of interest, e.g., in a template data set, with respect to various information, e.g., edge or boundary information. The invention includes improved methods for mapping point sets or curves to new point sets or curves for curve matching. The method determines the presence of an object of interest in a target data set despite of or using various types of topological transformations of the object of interest in the target data set. One or more mapping operators are determined based on template curves and/or example target curves. Pattern matching is performed on one or more target data sets using the mapping operator(s) to generate pattern matching results, and the pattern matching results output.

Abstract: System and method for determining the presence of an object of interest from a template image in an acquired target image, despite of or using various types of affine transformations of the object of interest in the target image. A template image discrete curve is determined from the template image corresponding to the object of interest, and a template curve canonical transform calculated based on the curve. The canonical transform is applied to the template curve to generate a mapped template curve. The target image is received, a target image discrete curve determined, and a target curve canonical transform computed based on the target curve canonical transform. The target canonical transform is applied to the target curve to generate a mapped target curve. Geometric pattern matching is performed using the mapped template and target image discrete curves to generate pattern matching results, and the pattern matching results are output.

Abstract: System and method for determining the presence of an object of interest in a target image. Regions of a target image may be located that match an object of interest, e.g., in a template image, with respect to various information, e.g., luminance, color and/or other types of boundary information. The invention includes improved methods for mapping point sequences (e.g., pixel sequences) or curves to new point sets or curves for curve matching. The method determines the presence of an object of interest in a target image despite of or using various types of topological transformations of the object of interest in the target image. One or more mapping operators are determined based on template curves and/or example target curves. Pattern matching is performed on one or more target images using the mapping operator(s) to generate pattern matching results, and the pattern matching results output.