There is provided an image processing device capable of easily reducing a burden related to image recognition and obtaining stable recognition performance even when a posture of a vehicle changes from moment to moment. An image processing device 50 includes a storage unit 5 and an image processing unit 6. The storage unit 5 stores a pickup image acquired by an image pickup unit 4 mounted on the vehicle and an inclination angle transmitted from an inclination angle sensor 2 that detects the inclination angle of the vehicle. The image processing unit 6 performs image processing on the pickup image. The image processing unit 6 associates the pickup image in an inclined state with the inclination angle based on a time difference Δt between a time from when the pickup image in the inclined state is acquired by the image pickup unit 4 until the acquired pickup image is stored in the storage unit 5, and a time from when the inclination angle is detected by the inclination angle sensor 2 until the detected inclination angle is stored in the storage unit 5. The image processing unit 6 generates a recognition image in a non-inclined state, which is used for image recognition of the pickup image, from the pickup image in the inclined state based on the inclination angle associated with the pickup image.

Aspects of the present disclosure relate to processing irregularly arranged characters. An image is received. An irregularly arranged character within the image is detected. A direction of the irregularly arranged character is modified to a proper direction to obtain a properly oriented character. The properly oriented character is recognized to obtain a first identified character. The image is then rebuilt by replacing the irregularly arranged character with the first identified character, the first identified character in a machine-encoded format.

A method of operation of a compute system includes: capturing an image of a surface of a tire; identifying a tire wear in the image; categorizing the tire wear as a bald region, a crack, a foreign object, low tread, or a combination thereof; generating a wear report includes identifying the tire wear as the bald region, the crack, the foreign object, low tread, or the combination thereof; and transferring the wear report for displaying on a display.

In a mobile object, a camera unit including an optical system that forms an optical image having a high-resolution region and a low-resolution region on a light receiving surface of an image pickup element and is disposed on a side of the mobile object, wherein the camera unit is installed to meet the following conditions: A tan (h/(d1+x))−θv/2<φv<A tan (h/(d2+x))+θv/2, φh_limit=max (A tan ((w1−y)/(d1+x))−θh/2, A tan ((w2−y)/(d2+x))−θh/2), φh limit <φh <−A tan (y/(d1+x))+θh/2, where θv and θh denote a vertical and a horizontal field angle of the high-resolution region, φv and φh denote a vertical and a horizontal direction angle of the optical axis of the optical system, x, y, and h denotes offsets, and w1 and w2 denote predetermined widths on the ground at the distances d1 and d2.

A system 100 and computerized method for real time videographic digital and production ready art 118 having a computer capable of: retrieving video files and photographic files from storage 114; automatically selecting patterns or prints, deriving patterns or prints from the files; extracting complementary and/or similar patterns and/or prints as videographic digital and production ready art 118 from files; applying the extracted patterns, prints or both patterns and prints to real world products; and creating targeted still images from the production ready art 118 for commercial use and licensing.

An apparatus for processing image data may include: a memory storing instructions; and a processor configured to execute the instructions to: extract a target image patch including a target object, from a captured image; obtain a plurality of landmark features from the target image patch; align the plurality of landmark features of the target image patch with a plurality of reference landmark features in a template image patch including the same target object; and when the plurality of landmark features are aligned with the plurality of reference landmark features, transfer texture details of the target object in the template image patch to the target object in the target image patch.

Techniques for automated facial measurement are provided. A set of coordinate locations for a set of facial landmarks on a face of a user are extracted by processing a first image using one or more landmark-detection machine learning models. An orientation of the face of the user is determined. It is determined that impedance conditions are not present in the set of images, and a reference distance on the face of the user is estimated based on the first image, where the first image depicts the user facing towards the imaging sensor. A nose depth of the user is estimated based on a second image of the set of images based at least in part on the reference distance, where the second image depicts the user facing at an angle relative to the imaging sensor. A facial mask is selected for the user based on the nose depth.

Systems, processes and methods for detecting rotated or angled text in an image based on global text geometry estimations are provided. A method includes, at an electronic device with memory and one or more processors, receiving an image including a plurality of pixels (802); determining, based on the image, one or more pixels of the plurality of pixels included in the image that contain text (804); identifying, based on the one or more pixels that contain text, a plurality of components in the image (810); determining a subset of components based on the plurality of components (814); determining, based on the pixels that contain text of the subset of components, one or more candidate text angles (816); determining a global text angle based on the determined one or more candidate text angles (824); and determining a first plurality of bounding boxes based on the global text angle (830).

An information processing device (2) includes a division unit (322) that divides an input image into a plurality of divided images having the same size, a rotation unit (324) that rotates, according to positions on the input image before the division, the plurality of divided images, and a recognition unit (325) that recognizes the plurality of divided images after the rotation.

The present invention relates to an X-ray imaging system (10). The X-ray imaging system comprises an optical camera (20), an X-ray imaging device (30), a processing unit (40), and an output unit (50). The optical camera is configured to acquire an optical image of a body part (BP) of a patient or an optical image of the head of the patient. The X-ray imaging device is configured to acquire an X-ray image of the body part of the patient. The processing unit is configured to determine an orientation of the body part, the determination comprising utilization of the optical image of the body part or utilization of the optical image of the head of the patient. The processing unit is configured to annotate the X-ray image of the body part with the orientation. The output unit is configured to output the orientation annotated X-ray image.