849 results about "Image rotation" patented technology

The invention aligns a set of plural images to construct a mosaic image. At least different pairs of the images overlap partially (or fully), and typically are images captured by a camera looking at the same scene but oriented at different angles from approximately the same location or similar locations. In order to align one of the images with another one of the images, the following steps are carried out: (a) determining a difference error between the one image and the other image; (b) computing an incremental rotation of the one image relative to a 3-dimensional coordinate system through an incremental angle which tends to reduce the difference error; and (c) rotating the one image in accordance with the incremental rotation to produce an incrementally warped version of the one image. As long as the difference error remains significant, the method continues by re-performing the foregoing determining, computing and rotating steps but this time with the incrementally warped version of the one image.

A pattern signal is steganographically encoded in a content object to aid in identifying distortion (e.g., image rotation) to which the object may be subjected. The signal may include a feature that can be used to unambiguously identify correct orientation.

A system and method to provide 180-degree rotation of image data at full throughput. The system includes a memory access controller that writes bursts of image data into a rotation buffer. The image data is then read out of the rotation buffer in the reverse order from which it was written to thereby accomplish rotation. By alternating the position in the rotation buffer in which the image data is written such that an image is either written into the buffer from top and read from the bottom or written into the buffer from the bottom and read out from the top, a one page rotation buffer of can be used to concurrently process two pages.

A method for correlating or finding similarity between two data sets. The method can be used for correlating two images with common scene content in order to find correspondence points between the data sets. These correspondence points then can be used to find the transformation parameters which when applied to image 2 brings it into alignment with image 1. The correlation metric has been found to be invariant under image rotation and when applied to corresponding areas of a reference and target image, creates a correlation surface superior to phase and norm cross correlation with respect to the correlation peak to correlation surface ratio. The correlation metric was also found to be superior when correlating data from different sensor types such as from SAR and EO sensors. This correlation method can also be applied to data sets other than image data including signal data.

An omnidirectional image processing apparatus is provided that enables the visibility of a specified monitoring object in an omnidirectional image to be improved while maintaining the continuity of that omnidirectional image. An omnidirectional image processing apparatus (400) is an apparatus that performs image processing on an omnidirectional image, and has a monitoring object specification section (405) that specifies a monitoring object photographed in the omnidirectional image, an image rotating section (406) that rotates the omnidirectional image so that the position of a specified monitoring object becomes upper-central, and a center position moving section (407) that moves the center position of the omnidirectional image rotated by the image rotating section (406) downward by means of warping processing.

An embodiment of the invention provides a method for use in face recognition. The method includes: obtaining a coordinate of facial feature points after detection of the facial feature points of a user image; calculating the angular difference between a human face and a horizontal direction based on the coordinate of facial feature points, and rotating the user image until the angular difference between the human face and the horizontal direction matches a preset standard angle; calculating a size ratio between the human face and a preset standard human face according to the coordinate of facial feature points, and scaling the user image according to the size ratio; and according to the location of the facial feature points in the user image, cropping the user image after rotation and scaling into a standard area size so that the facial feature points are in the standard position of the standard area, and obtaining an aligned facial image of a consistent size through pre-processing of the user image so that the facial features of the same user are more consistent and the effects of low-quality images on face recognition are eliminated. In addition, the invention also provides an apparatus for use in face recognition.

The invention discloses a hybrid solid-state multiline optical scanning and distance measuring device. The characteristics lie in that the device comprises an emission light source, a reflecting mirror, a Dove prism, a light receiving module and a signal processing unit, wherein the emission light source is used for emit infrared detection light; the reflecting mirror reflects the infrared detection light emitted by the emission light source and reflects infrared detection light reflected by a detected object or barrier; the Dove prism is located between the reflecting mirror and the light receiving module, and the angular velocity of rotation of the Dove prism is half of the angular velocity of rotation of the reflecting mirror; the light receiving module receives the infrared detection light emitted by the Dove prism, and a photoelectric sensor in the light receiving module converts optical signals into electric signals; and the signal processing unit is connected with the photoelectric sensor, and calculates the distance according to the electric signals converted by the photoelectric sensor. According to the invention, the Dove prism structure is additionally arranged so as to correct a problem of image rotation brought about by rotation, thereby realizing multiline distance measuring.

The invention discloses a ship target detection and identification method for a satellite-borne remote sensing optical image. The method comprises the following steps of preprocessing, ineffective information removal, connected region marking, feature extraction and classifier design. A coarse-to-fine strategy is adopted, firstly, a satellite image is subjected to downsampling and Gaussian filtering processing, then, land and isolated noisy points are removed from the processed image, a candidate region is quickly extracted and is marked, feature information is extracted after the image is rotated, then, the feature information is put into a pre-trained classifier to be furthered confirmed and analyzed, false alarms are removed, and a real ship target is found. Meanwhile, the invention also realizes a ship target detection and identification system for the satellite-bone remote sensing optical image. By use of the technical scheme, satellite-borne storage and calculation of limited resources can be effectively utilized to improve the stability and the real time of a ship detection algorithm, meanwhile, a false alarm rate is effectively lowered, and accurate data can be provided for maritime search and rescue and ship image positioning in time.

The invention discloses an image rotation correction method and a system and an electronic device. The image rotation correction method carries out the following steps before storing or browsing images: A: reading original image data; B. detecting the rotation angle of the image data: rotating images several times, calculating the reliability indices of the image before rotation and the images after each rotation, and marking the rotation angle whose reliability index is highest as the needed rotation angle, wherein, the rotation angle is the relative angle of the original image and image during normal checking; and C. according to detected rotation angle, carrying out rotation correction on the image. The invention utilizes the technologies in the fields of image processing, mode identification and the like to automatically detect the rotation angle and correct the rotation of the image data before storing or displaying the image data to a user to browse, thus ensuring that the user can see the image which is treated by rotation correction when browsing images and reduces the trouble for users to manually correct with an image browsing tool.

The invention discloses a picture similarity calculation method, comprising the steps of: (1) calculating hash values of two pictures to be compared by using a hash method based on DCT (Discrete Cosine Transformation); (2) calculating the Hamming distance dis-h between the two hash values; (3) if the Hamming distance is not in a set range, directly calculating the similarity of the two pictures via a formula; (4) if the Hamming distance is in the set range, calculating a hash value by using a hash method based on radial projection; and (5) calculating a Pearson's correlation coefficient of the hash value obtained last step, and calculating the similarity of the two pictures in combination with the Hamming distance obtained in step 2. The method has certain robustness for image rotation, avoids the influence caused by gamma correction or color histogram adjustment, and improves the accuracy of picture similarity results.

In vivo visualization systems are described which facilitate tissue treatment by a user in utilizing real time visualized tissue images with generated three-dimensional models of the tissue region of interest, such as the left atrial chamber of a subject's heart. Directional indicators on the visualized tissue as well as the imaging systems may be utilized while other variations may utilize image rotation or manipulation of visualized tissue regions to facilitate catheter control. Moreover, visualized tissue regions may be combined with imaged tissue regions as well as navigational information to further facilitate tissue treatments.

A metrology/inspection system moves the imaging and/or measuring equipment of the system relative to a wafer. Accordingly, measurement or inspection of the wafer does not require that the wafer be mounted on a precision stage. This allows the wafer to be at rest on any structure native in a processing apparatus when the system measures or inspects the wafer. Accordingly, measurement does not require removing the wafer from the processing apparatus and does not delay processing since the wafer can be measured, for example, during a required cool down period of device fabrication process. Alignment of an optical system includes pre-alignment base on edge detection using the optical system and more precise alignment using image recognition. An R-θ stage can position the optical system at inspection areas on the wafer. Image rotation can provide a fixed orientation for all images at the various inspection areas and can maintain the fixed orientation when moving from one inspection area to the next.

The invention relates to a method for carrying out fast vehicle comparison and vehicle type recognition at a tollgate. The method comprises the steps that firstly, a standard snapshot vehicle image is collected through a high-definition tollgate vidicon, the foreground vehicle detection is carried out on the image, and a vehicle area is extracted; the vehicle area is preprocessed, feature points are detected, a sift feature descriptor is calculated, a query tree carries out the inquiry, the rough vehicle type matching is achieved, a vehicle type data image set is obtained, accurate matching is carried out on standby vehicle type images through the sift feature descriptor again, geometric verification is carried out through geometric information, and a final vehicle type comparison result is obtained through rearrangement and is output. According to the method, the multi-scale sift feature serves as the descriptor of the image, the sift feature is the local feature of the image, invariance of image rotating, dimension zooming and luminance changing is kept, and certain stability of vision angle changing, radiation converting and noise is kept.

Disclosed are an unmanned monitoring system and a monitoring method for performing 360° unmanned monitoring work in equipment having a low storage capacity, such as a robot, by using one omni-directional camera. When an image is input through the omni-directional camera, a movement of an object is detected from the image. Then, the movement region is sampled by tracing the object and the image for the movement region is rotated into a frontal image while compensating for inclination of the image in order to allow a user to easily view the image. Thus, the frontal image is transmitted to a mobile communication terminal of a user, such as a mobile phone or a PDA.