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 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 translation:在本申请中公开了PWM电路,其包括:PWM计数器,参考值设置寄存器,倍频器和比较器,其中倍频器适于增加时钟信号输入的频率并输出时钟信号 增加到PWM计数器的频率。 在本申请中进一步公开了LED驱动电路。 PWM输入时钟信号的频率由倍频器增加到PWM输入时钟信号的原始频率的N倍,使得PWM计数器的计数周期缩短到原始计数周期的1 / N PWM计数器。 因此,在动态LED显示画面中,在保持原始分辨率的同时,将刷新频率提高到原来的刷新频率的N倍。
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:
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 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.
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:
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.