A method, apparatus and computer program product are provided for varying panning speeds of images based on saliency such that 360-degree images, panoramic images, video images and/or other wide view area images may be efficiently displayed by varying the panning speed such that the user focuses on salient portions of the image. A panning speed is determined based on the currently displayed area and its saliency relative to the saliency of non-displayed or peripheral portions. As a user pans from one area to another, while the user pans over a salient portion of the image, the actual reflected panning may occur at a relatively slower speed than when the user pans over an area not including a salient portion, or a less salient portion.

A system and method for machine understanding, using program induction, includes a visual cognitive computer including a set of components designed to execute predetermined primitive functions. The method includes determining programs using a program induction engine that interfaces with the visual cognitive computer to discover programs using the predetermined primitive functions and/or executes the discovered programs based on an input.

The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters.

The present disclosure provides a method for identifying key point locations in an image. The method includes: obtaining an image to be detected, and obtaining a feature map and a saliency map of the image to be detected; generating a score response map of the image to be detected based on the feature map of the image to be detected; obtaining a first key point location of a key point on the score response map; obtaining a second key point location of the key point mapped on the image to be detected based on the first key point location; and correcting the second key point location based on the saliency map.

Aspects of the detailed technologies concern training and use of neural networks for fine-grained classification of large numbers of items, e.g., as may be encountered in a supermarket. Mitigating false positive errors is an exemplary area of emphasis. Novel network topologies are also detailed—some employing recognition technologies in addition to neural networks. A great number of other features and arrangements are also detailed.

An image processing apparatus includes a processor configured to receive an image having a foreground segment and a background segment, receive a design object, calculate a position for superimposing the design object, on a basis of respective features of the foreground segment, the background segment, and the design object, and perform output to superimpose the design object at the calculated position.

A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Methods, systems, and articles of manufacture to improve image recognition searching are disclosed. In some embodiments, a first document image of a known object is used to generate one or more other document images of the same object by applying one or more techniques for synthetically generating images. The synthetically generated images correspond to different variations in conditions under which a potential query image might be captured. Extracted features from an initial image of a known object and features extracted from the one or more synthetically generated images are stored, along with their locations, as part of a common model of the known object. In other embodiments, image recognition search effectiveness is improved by transforming the location of features of multiple images of a same known object into a common coordinate system. This can enhance the accuracy of certain aspects of existing image search/recognition techniques including, for example, geometric verification.

Apparatus and methods for identification of a coded pattern visible to a computerized imaging apparatus while invisible or inconspicuous to human eyes. A pattern and/or marking may serve to indicate identity of an object, and/or the relative position of the pattern to a viewer. While some solutions exist for identifying patterns (for example, QR codes), they may be visually obtrusive to a human observer due to visual clutter. In exemplary implementations, apparatus and methods are capable of generating patterns with sufficient structure to be used for either discrimination or some aspect of localization, while incorporating spectral properties that are more aesthetically acceptable such as being: a) imperceptible or subtle to the human observer and/or b) aligned to an existing acceptable visual form, such as a logo. In one variant, a viewer comprises an imaging system comprised as a processor and laser scanner, or camera, or moving photodiode.

A method for operating an accessory device to guide the placement of an ostomy appliance on a user having a stoma. The method can include capturing an image or a sequence of images of the user applying the ostomy appliance to the user's body, processing the captured image or sequence of images, including: identifying a location of the stoma in one or more of the captured image or sequence of images, identifying a location of the ostomy appliance in one or more of the captured image or sequence of images, and generating location indicia representative of the location of the ostomy appliance with respect to the stoma in one or more of the captured image or sequence of images. A visual display including the location indicia associated with one or more of the captured image or sequence of images can be provided.