A control apparatus includes a force sensation information acquiring unit for acquiring force sensation information representing a magnitude of at least one of a force and a torque at a distal end of a manipulator while a target item is being transported; a mass information acquiring unit for acquiring mass information representing a mass of the item; a plan information acquiring unit for acquiring plan information representing content of a plan of a trajectory; a force sensation estimating unit for estimating a magnitude of at least one of a force and a torque to be detected at the distal end of the manipulator; and a first detecting unit for detecting an abnormality, based on the magnitude of at least one of the force and the torque represented by the force sensation information and the magnitude of at least one of the force and the torque estimated by the estimating unit.

An apparatus for stabilizing an image includes: an image analyzing unit analyzing characteristics of each block to calculate a weight of each block; a significant block extracting unit extracting, from the blocks, a block having a weight larger than a threshold value, as a significant block; a feature point extracting unit extracting a feature point from the significant block by extracting pixels of the significant block and comparing at least one of color and brightness between the pixels and neighboring pixels of the pixels; a local motion vector calculating unit calculating local motion vectors of blocks corresponding to the feature point by referring a previous frame of the frame and estimating a motion of the at least one block; a global motion vector calculating unit calculating a global motion vector based on the calculated at least one local motion vector.

Various aspects of a method and system for detection of surgical gauze during anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in an image-processing engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the determination of a set of pixel characteristics based on color filtering of at least a portion of a video frame. Thereafter, one or more blocks of pixels of a portion of a surgical gauze are detected in the video frame based on the set of pixel characteristics. Further, additional pixels that correspond to a remaining portion of the surgical gauze are identified based on a plurality of metrics. The surgical gauze is recognized in the video frame based on the detection of the one or more blocks of pixels and the identification of the additional pixels.

Provided are an apparatus and method for extracting a salient line for an information sign. The apparatus includes an image input portion configured to receive an image including information indication lines to be detected, a signal calculator configured to generate a symmetric function signal consistent with a thickness and a direction of an information indication line having a preset thickness in the received image and perform a convolution of the information indication line and the generated symmetric function signal, a highest value enhancement portion configured to enhance highest values in results of the convolution using a signal quality improvement filter, and a local highest value extractor configured to find local highest values among the enhanced highest values and extract a line connecting the local highest values as a salient line connecting center points in the information indication line.

An example method, apparatus, and computer-readable storage medium are provided to predict high-dynamic range (HDR) lighting from low-dynamic range (LDR) background images. In an example implementation, a method may include receiving low-dynamic range (LDR) background images of scenes, each LDR background image captured with appearance of one or more reference objects with different reflectance properties; and training a lighting estimation model based at least on the received LDR background images to predict high-dynamic range (HDR) lighting based at least on the trained model. In another example implementation, a method may include capturing a low-dynamic range (LDR) background image of a scene from an LDR video captured by a camera of the electronic computing device; predicting high-dynamic range (HDR) lighting for the image, the predicting, using a trained model, based at least on the LDR background image; and rendering a virtual object based at least on the predicted HDR lighting.

A method and device for assisting the driving of an aircraft (AC) moving on the ground, on a taxiing circuit (CP) including a taxi line (TL) to be followed by the aircraft (AC). The taxi line (TL) has different portions (PR) forming between them intersections (IP). The device is configured to use a digital modeling of the taxi line (TL), called digital trajectory (TR), including nodes corresponding to the intersections (IP). In addition, the device includes a detection unit (4) configured to detect at least one of the intersections (IP), as well as an increment unit (6) configured to increment a counter associated with the digital trajectory (TR), after detection of the intersection (IP), the counter being designed to count a series of the nodes.

Techniques and systems are described for automatic artifact removal in a digital image. A segmentation map is generated that describes a magnitude of difference among pixels in a digital image. Contours may be generated that describe boundaries of objects described in the segmentation map. The contours may be filtered according to two-dimensional and three-dimensional cues to identify contours corresponding to artifacts in the digital image. For each contour corresponding to an artifact, an object mask and a sampling mask may be generated. The object mask and the sampling mask may be utilized as part of a content filling operation upon the digital image to remove the artifact, and a corrected digital image is generated that does not include the artifact.

A system and method for performing facial recognition is described. In some implementations, the system and method identify points of a three-dimensional scan that are associated with occlusions, such as eyeglasses, to a face of a target subject and remove the identified points from the three-dimensional scan.

Disclosed in the present specification is a self-checkout device to which hybrid product recognition technology is applied and which helps a user to more conveniently and quickly make a payment. The self-checkout device according to the present specification photographs a product with a plurality of cameras, and then recognizes a barcode by detecting a barcode region from the captured images and, simultaneously, extracts a feature point of the images such that a product can be recognized through the calculation of the proportion that matches with a reference image of the product. Thus, a product can be quickly recognized through barcode recognition and packaging paper recognition in a product image.

The present application discloses a method of presenting moving images or videos corresponding to still images. The method includes: storing a still image and a moving image or video corresponding to the still image into a cloud storage; extracting feature points of the still image stored in the cloud storage, and storing the feature points in the cloud storage in a manner which associates the feature points with the still image; when a device obtains a first still image through scanning, extracting feature points from the first still image, comparing and judging whether the extracted feature points match feature points of each still image stored in the cloud storage to determine a second still image whose feature points match the feature points of the first still image; rendering a moving image or video corresponding to the second still image stored in the cloud storage at the position of the first still image. The present application can facilitate presenting a moving image corresponding to a still image, and increase the information and entertainment provided by a still image.