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.

Methods and apparatus for generating a data structure for storing primitive data for a number of primitives and vertex data for a plurality of vertices, wherein each primitive is defined with reference to one or more of the plurality of vertices. The vertex data comprises data for more than one view, such as a left view and a right view, with vertex parameter values for a first group of vertex parameters being stored separately for each view and vertex parameter values for a second, non-overlapping group of vertex parameters being stored only once and used when rendering either or both views.

To provide a technique capable of quantitatively grasping a change in three-dimensional shape including a cross-sectional shape of a pattern within a surface of a wafer or between wafers in a non-destructive manner before cross-sectional observation. A processor system of a semiconductor inspection system acquires images captured by an electron microscope (SEM) for a sample (S102), calculates, for a reference region defined on a surface of the sample, first feature data corresponding to each of a plurality of locations in the reference region from the captured image (S103A), calculates a first statistical value based on the first feature data at the plurality of locations (S103B), calculates, for each of a plurality of evaluation regions defined as points or regions on the surface of the sample in correspondence with the reference region, second feature data corresponding to each of one or more locations in the evaluation region from the captured image, as feature data of the same type as the first feature data (S104A), and converts the second feature data using the first statistical value to obtain second feature data after conversion (S105).

Provided is an apparatus for acquiring images including an image sensor including a sensor substrate including a plurality of photo-sensing cells sensing light, and a color separation lens array provided above the sensor substrate, the color separation lens array including a fine structure in each of a plurality of regions respectively facing the plurality of photo-sensing cells and separating incident light based on color, the fine structure forming a phase distribution to condense light having different wavelengths on adjacent photo-sensing cells, a signal processor configured to perform, based on a point spread function corresponding to each color pixel by the color separation lens array, deconvolution on sensing signals of the plurality of photo-sensing cells to process an image signal for each color obtained by the image sensor, and an image processor configured to form a color image from the image signal for each color processed by the signal processor.

The invention provides a method and system for generating a watermark on the basis of graphic, a terminal, and a medium. The method includes acquiring a watermark image and at least one watermark unit image; acquiring watermark encryption information; determining the distribution information of the watermark unit images in the watermark image according to the watermark encryption information and a preset encryption model, the distribution information comprising imaging regions of the watermark unit images in the watermark image; and overlaying each watermark unit image into a corresponding imaging region in the watermark image to generate the watermark. The watermark encryption information has a one-to-one corresponding relationship with the distribution information of the watermark unit images in the watermark image, and the corresponding relationship can be defined by a user so that others cannot crack the watermark without knowing the encryption model, thereby improving the watermark cracking difficulty. Moreover, the method can generate the watermark according to the watermark image and the watermark unit images input by the user, and provide personalized customization of the watermark under the function of encryption to improve the user experience.

A collation system of the present invention includes an imaging means for acquiring a captured image of a pre-passage side area with respect to a gate, a collation means for performing a collation process between a previously registered target and a target in the captured image, and a determination means for determining propriety of passage of the target with respect to the gate, on the basis of a result of the collation process. The collation means initiates the collation process on the basis of a condition, set to each area of the captured image, for the target located in the area.

Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

An information processing apparatus includes an acquisition unit, a determination unit, and an output unit. The acquisition unit acquires history information of image processing using a plurality of medical images. The determination unit determines, using the acquired history information, whether each of a plurality of candidate images that are candidates of a second medical image used for image processing together with a first medical image selected by an operator has already been processed. The output unit outputs a notification in accordance with the result of the determination.

An image noise compensating system, comprising: a distance determining device, configured to determine whether a distance is larger than a distance threshold or not; an image sensor, comprising at least one image sensing unit, wherein the image sensor forms a combined image sensing unit when the distance is smaller than the distance threshold and senses images without forming the combined image sensing unit when the distance is larger than the distance threshold, wherein a width of an area that the combined image sensing unit can sense is larger than a width of an area that the image sensing unit can sense; a noise compensating circuit, configured to compensate image noises; and a control circuit, configured to calculate a location of the image noise compensating system.

The usability in annotating an image of a subject derived from a living body is improved. An image analysis method is implemented by one or more computers and includes: displaying a first image that is an image of a subject derived from a living body; acquiring information regarding a first region based on a first annotation added to the first image by a user (S101); specifying a similar region similar to the first region from a region different from the first region in the first image, or a second image obtained by image capture of a region including at least a part of a region of the subject subjected to capture of the first image, based on the information regarding the first region (S102, S103); and displaying a second annotation in a second region corresponding to the similar region in the first image (S104).