Abstract: A method and system for associating a mobile device carried by a shopper with Point-of-Sale (PoS) data from that shopper's transaction at a retail location. Specifically, the association can utilize face data that was associated with the mobile device to match face data that was generated by association with PoS data. The association with a mobile device can also include the calculation of a mobile trajectory to enable the generation of a shopper profile including shopper behavior. The mobile to PoS association can include tracking of the mobile device throughout a retail location to form a trajectory. The association of a face to a mobile device can utilize the device's MAC address and repeat visit analysis to determine a match. The association of a face to PoS data can utilize the aligning of event time series based on a dynamic time disparity to match checkout events with PoS events.

Abstract: A method and system for associating an image of a face of at least a person with Point-of-Sale (PoS) data by aligning a first event time series with a second event time series based on a dynamic time disparity. An exemplary embodiment can generate an event time series containing facial recognition data for a person or persons during the PoS transaction process. These data can form a vision-based checkout event time series. An embodiment can also collect PoS transaction data from the retail checkout system, using timestamp information to create a second event time series. As there may be a time disparity between the time series, they can then be aligned in order to match events from one time series to the other. Faces identified in checkout events in the first time series can be registered to PoS events and the results stored in a database.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of, at a computer system, receiving an image recorded at and transmitted from a remote source, at the computer system, processing the transmitted image, for segregation of the transmitted image into a corresponding intrinsic image and, at the computer system, processing the corresponding intrinsic image to perform a preselected task, for a result. As a further feature of the first exemplary embodiment of the present invention, the remote source comprises a cell phone or remote computer system.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: A method for identifying color-based vectors is provided, for an improved analysis of frames of a video, for locally accurate color/material correspondence information is provided. The correspondence information can be used to improve the identification of illumination and material aspects of each image depicted in temporally spaced frames of a video.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of, at a computer system, receiving an image recorded at and transmitted from a remote source, at the computer system, processing the transmitted image, for segregation of the transmitted image into a corresponding intrinsic image and, at the computer system, processing the corresponding intrinsic image to perform a preselected task, for a result. As a further feature of the first exemplary embodiment of the present invention, the remote source comprises a cell phone or remote computer system.