Showing papers by "Takeo Kanade published in 2020"

Image processing system to detect changes to target objects using base object models

Abstract: An image processing system detects changes in objects, such as damage to automobiles, by comparing a base object model, which depicts the object in an expected condition, to one or more target images of the object in the changed condition The image processing system first processes a target object image to detect one or more predefined landmarks in the target object image and corrects for camera and positional distortions by determining a camera model for the target object image based on the detected landmarks The image processing system then determines contours of the target object within the target object image by overlaying an aligned base object model with the target object image, removes background pixels or other extraneous information based on this comparison, and then performs a statistical processing routine on the identified target object image to detect changes, the likelihood of changes, and/or a quantification of an amount or type of change, to the target object as depicted in the target object image as compared to the base object model

Image processing system to align a target object in a target object image with an object model

Abstract: An image processing system that may be used to detect changes in objects, such as damage to automobiles, compares a base object model, which depicts the object in an expected condition, to one or more target object images of the object in the changed condition. To do so, the image processing system first processes a target object image to detect one or more predefined landmarks in the target object image using one or more correlation filters. The image processing system then uses the detected landmarks to determine a camera model for the target object image and uses the camera model to correct for camera distortions and to align the target object depicted in a target object image with the object in the base object model to put these objects in a common frame of reference for use in subsequent image processing. The image processing system may then determine contours of the target object within the target object image by overlaying an aligned base object model with the target object image, may remove background pixels or other extraneous information based on this comparison, and may perform a statistical processing routine on the identified target object image to detect changes to the target object as depicted in the target object image as compared to the base object model.

Technology for analyzing images depicting vehicles according to base image models

Abstract: A method and system for analyzing images of a target vehicle according to a base image model corresponding to the target vehicle. According to certain aspects, the method and system receive a set of images from an electronic device and analyze the set of images to identify the target vehicle and a set of information associated with the target vehicle. The method and system may determine that the set of images does not meet a threshold criteria for further image analysis using a base image model corresponding to the target vehicle. In response, the method and system may generate and transmit a notification to the electronic device indicating that the set of images does not meet the threshold criteria.

Image processing system to detect contours of an object in a target object image

Abstract: An image processing system detects changes in an object, such as damage to an automobile, by comparing a base object model, which depicts the object in an expected condition, to one or more target object images depicting the object in the changed condition. The image processing system aligns the object, as depicted in the base object model, with the object as depicted in a target object image. The image processing system then determines contours of the target object within the target object image by overlaying the aligned base object model with the target object image, and removes background pixels or other extraneous information based on this comparison. The image processing system may also determine various different components, such as body panels of an automobile, based on this overlay. The image processing system may then perform a statistical processing routine on the target object, or the components of the target object, as identified in the target object image, to detect changes, the likelihood of changes, and/or a quantification of an amount or type of change, to the target object as depicted in the target object image as compared to the base object model.