Abstract: A method comprising: providing a first three-dimensional (3D) point cloud obtained according to a first sensing technique, a second 3D point cloud obtained according to a second sensing technique and a first radius of a sphere covering a real object underlying the second first 3D point cloud and a second radius of a sphere covering a real object underlying the second 3D point cloud; defining scales of the first 3D point cloud and the second 3D point cloud based on said first radius and second radius; searching statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud using an ensemble shape function (ESF); aligning the statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud at least in vertical direction; and ranking the aligned candidate regions between the 3D point clouds based on their structural similarity

Abstract: A PWM circuit is disclosed in the application, which includes: a PWM counter, a reference value setting register, a frequency multiplier and a comparator, where the frequency multiplier is adapted to increase the frequency of a clock signal input and to output the clock signal with the increased frequency to the PWM counter. An LED drive circuit is further disclosed in the application. The frequency of a PWM input clock signal is increased to N times of the original frequency of the PWM input clock signal by the frequency multiplier, so that the counting cycle of the PWM counter is shortened to 1/N of the original counting cycle of the PWM counter. Therefore, in the dynamic LED display screen, the refresh frequency can be increased to N times of the original refresh frequency while the original resolution is maintained.

Abstract: A method comprising: obtaining an image about an at least one object of interest and a three-dimensional (3D) point cloud about said object of interest; aligning the 3D point cloud with the image; segmenting the image into a plurality of superpixels preserving a graph structure and spatial neighbourhood of pixel data of the image; associating the superpixels in the image with a subset of said 3D points, said subset of 3D points representing a planar patch in said object of interest; extracting a plurality of 3D features for each patch; and assigning at least one vector representing at least one 3D feature with a semantic label on the basis of at least one extracted 3D feature of the patch.

Abstract: An apparatus for providing pattern detection may include a processor. The processor may be configured to iteratively test different models and corresponding scales for each of the models. The models may be employed for modeling parameters corresponding to a visually detected data. The processor may be further configured to evaluate each of the models over a plurality of iterations based on a function evaluation of each of the models, select one of the models based on the function evaluation of the selected one of the models, and utilize the selected one of the models for fitting the data.

Abstract: In an example embodiment, a method, apparatus and computer program product are provided. The method includes determining an upper bound on a probability of error associated with a mapping of a data into binary codes. The mapping is performed based on a plurality of hash functions. The method further includes selecting a set of hash functions from among the plurality of hash functions associated with a minimization of the upper bound on the probability of error.

Abstract: An approach is provided for processing and/or facilitating a processing of one or more images to determine camera location information, camera pose information, or a combination thereof associated with at least one camera capturing the one or more images, wherein the camera location information, the camera pose information, or a combination thereof is represented according to a global coordinate system. The approach involves causing, at least in part, an association of the camera location information, the camera pose information, or a combination thereof with the one or more images as meta-data information.

Abstract: An approach is provided for processing and/or facilitating a processing of one or more images to determine camera location information, camera pose information, or a combination thereof associated with at least one camera capturing the one or more images, wherein the camera location information, the camera pose information, or a combination thereof is represented according to a global coordinate system. The approach involves causing, at least in part, an association of the camera location information, the camera pose information, or a combination thereof with the one or more images as meta-data information.

Abstract: A method, apparatus and computer program product are provided that may enable devices to provide improved object tracking, such as in connection with computer vision, multimedia content analysis and retrieval, augmented reality, human computer interaction and region-based image processing. In this regard, a method includes adjusting parameters of a portion of an input frame having a target object to match a template size and then performing feature-based image registration between the portion of the input frame and an active template and at least one selected inactive template. The method may also enable switching the selected inactive template to be an active template for a subsequent frame based at least on a matching score between the portion of the input frame and the selected inactive template and determine a position of a target object in the input frame based on one of the active template or the selected inactive template.

Abstract: An apparatus for providing pattern detection may include a processor. The processor may be configured to iteratively test different models and corresponding scales for each of the models. The models may be employed for modeling parameters corresponding to a visually detected data. The processor may be further configured to evaluate each of the models over a plurality of iterations based on a function evaluation of each of the models, select one of the models based on the function evaluation of the selected one of the models, and utilize the selected one of the models for fitting the data.

Abstract: A method, apparatus and computer program product are provided that may enable devices to provide improved object tracking, such as in connection with computer vision, multimedia content analysis and retrieval, augmented reality, human computer interaction and region-based image processing. In this regard, a method includes adjusting parameters of a portion of an input frame having a target object to match a template size and then performing feature-based image registration between the portion of the input frame and an active template and at least one selected inactive template. The method may also enable switching the selected inactive template to be an active template for a subsequent frame based at least on a matching score between the portion of the input frame and the selected inactive template and determine a position of a target object in the input frame based on one of the active template or the selected inactive template.

Abstract: A method suited to the detection and correction of red-eyes includes assigning a probability to pixels of a digital image of the pixel being in a red-eye, the probability being a function of a color of the pixel. Optionally, generally circular regions in the image of contiguous pixels which satisfy at least one test for a red-eye are identified. The test may include determining a size or shape of the region or an extent of overlap with a region comprising pixels having at least a threshold probability of being in a red-eye. For each of a plurality of the pixels, such as simply those in identified regions, or for all pixels or a larger group of the pixels, a color correction for the pixel is determined. The correction is a function of the assigned probability that the pixel is within a red-eye and a color of the pixel.

Abstract: An improved method, device and computer program product for enabling a system to learn, categorize and search items such as images and video clips according to their semantic meanings. According to the present invention, prominent features can be separated from low-level features in an item using supervised learning approaches. Prominent features are used to categorize and annotate new target items. Users can then use key words and/or template items for searching through the respective database.

Abstract: An apparatus for providing pattern detection may include a processor. The processor may be configured to iteratively test different models and corresponding scales for each of the models. The models may be employed for modeling parameters corresponding to a visually detected data. The processor may be further configured to evaluate each of the models over a plurality of iterations based on a function evaluation of each of the models, select one of the models based on the function evaluation of the selected one of the models, and utilize the selected one of the models for fitting the data.

Abstract: Systems and methods for organization and browsing a set of images allow a user to find and identify desired images. A collection of images (e.g., stored in an image database) may be organized using a tree or pyramid hierarchy such that each level of the hierarchy represents a finer level of similarity between images in an image cluster. In one arrangement, images are stored as leaf nodes and each ascendant node of the leaf nodes represents a cluster to which the images belong. Each ascendant node may include an animation image representing the set of images belonging to the cluster. A user may browse an image database by identifying and accessing clusters of images that are progressively more refined. A hybrid browsing method and system may also be used wherein images may be displayed simultaneously with the animation images to which they correspond.

Abstract: An improved method, device and computer program product for enabling a system to learn, categorize and search items such as images and video clips according to their semantic meanings. According to the present invention, prominent features can be separated from low-level features in an item using supervised learning approaches. Prominent features are used to categorize and annotate new target items. Users can then use key words and/or template items for searching through the respective database.

Abstract: A method and system for holistic Harr-like feature matching for image recognition includes extracting features from a test image where the extracted features are Harr-like features extracted from key points in the test image, matching extracted features from the test image with features from a template image, transforming the test image according to matched extracted features, and providing match results

Abstract: A method suited to the detection and correction of red-eyes includes assigning a probability to pixels of a digital image of the pixel being in a red-eye, the probability being a function of a color of the pixel. Optionally, generally circular regions in the image of contiguous pixels which satisfy at least one test for a red-eye are identified. The test may include determining a size or shape of the region or an extent of overlap with a region comprising pixels having at least a threshold probability of being in a red-eye. For each of a plurality of the pixels, such as simply those in identified regions, or for all pixels or a larger group of the pixels, a color correction for the pixel is determined. The correction is a function of the assigned probability that the pixel is within a red-eye and a color of the pixel.