Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

180 results about "Local illumination" patented technology

Face image relighting method

The invention discloses a face image relighting method, which comprises the steps of: performing face recognition on a two-dimensional face image, and acquiring two-dimensional feature points; performing face three-dimensional reconstruction according to the two-dimensional feature points and three-dimensional face model data, and generating a three-dimensional grid of a three-dimensional face image; carrying out local illumination rendering on the three-dimensional grid according to the illumination rendering parameters and a pre-established illumination model, and generating a first two-dimensional face illumination mapping graph; and performing skin color detection on the two-dimensional face image, and acquiring a two-dimensional face image skin color probability value; performing non-skin-color region protection on the first two-dimensional face illumination mapping graph according to the skin color probability value, so as to obtain a second two-dimensional face illumination mapping graph; carrying out edge extension on a facial contour of the second two-dimensional face illumination mapping graph, so as to obtain a third two-dimensional face illumination mapping graph; and subjecting the third two-dimensional face illumination mapping graph and the two-dimensional face image to relighting fusion, and generating a lighting result map. The face image relighting method provided by the invention is simple, feasible, fast and efficient, and is high in user controllability.
Owner:CHENDU PINGUO TECH

Method and apparatus for foreground segmentation of video sequences

The present invention relates to a method and system for foreground segmentation in which frames of a video sequence are analyzed in the transform domain to determine one or more features. The features are used to model the background. The background can be modeled as a single Gaussian model with a mean and variance of the features. A current frame is segmented by determining if one or more features of the current frame analyzed in the foreground domain satisfy a threshold between the background model. The threshold value can be based on the mean and/or variance of features. During the segmentation, the mean and variance can be updated based on previous corresponding values and current features to adaptively update the background model. In one embodiment, the frames are divided into a plurality of blocks. A transform is used to analyze the blocks in the transform domain. For example, the transform can be a discrete cosine transform (DCT). The features can be a DC feature comprising the DC coefficient and an AC feature comprising a weighted sum of the AC coefficients. The weighted sum is determined with weights which are varied to emphasize different aspects of the present invention. Additional processing steps can be used to remove false positives, handle sudden global illumination changes, handle sudden local illumination changes and remove false negatives.
Owner:PRINCETON UNIV

Overall-optimization lighting source arranging method

The invention discloses an overall-optimization lighting source arranging method which includes the following steps. Firstly, minimum intervals among adjacent light sources are calculated out according to four light source lighting models and based on the minimum intervals , a first light source is located and a step size of variation of light source intervals is determined in a lighting space; secondly, according to the step size, the intervals among adjacent light sources are changed and whether an illuminance value of a lighting spatial point corresponding to each installation interval meets lighting design standards of a building or not is determined. If yes, the scheme is judged to be reasonable and changing the intervals among adjacent light sources continues, whether an arrangement scheme of a next installation interval is reasonable or not is determined and eventually the maximum interval value which meets the lighting design standards of the building is selected as the maximum arrangement scheme. Thirdly, a plane graph of the maximum arrangement scheme is drawn and maximum illuminance, minimum illuminance, illuminance uniformity and needed electric energy of the scheme are calculated out. The overall-optimization lighting source arranging method has the advantages of being little affected by subjective factors and taking both a spatial overall situation and partial lighting conditions into consideration and being accurate in calculation.
Owner:NANJING NORMAL UNIVERSITY

Face illumination migration method based on generative adversarial network

The invention discloses a face illumination migration method based on a generative adversarial network. The method comprises the following steps: (1) acquiring sample data of a front face image; (2) selecting two images from the sample data as a target face image and a reference illumination image respectively, wherein the classifier is used as the input of the generator, the generator outputs a re-illumination image, the discriminator feeds back the error of the real image and the re-illumination image to the generator, and the classifier feeds back the error of the identity information of the target face image and the re-illumination image to the generator; the generator, the discriminator and the classifier carrying out repeated adversarial training to obtain an optimal face illumination migration model; and (3) performing face illumination migration. According to the method, a generative adversarial network architecture and a loss function are adopted, and the model can effectivelyprocess local illumination details by utilizing an attention mechanism. 3D information of a human face does not need to be used in network training, the human face does not need to be aligned, end-to-end training is carried out, and a good re-illumination result is achieved.
Owner:SUN YAT SEN UNIV

Wetland water resource water-quality online detection device and detection method

The invention discloses a wetland water resource water-quality online detection device in the field of water quality detection. The device comprises a floating platform, a detection box is mounted atthe top of the floating platform in an embedded manner, a processing chip is arranged at the bottom of an inner cavity of the detection box, a filter is arranged on the left side wall of the inner cavity of the detection box, a signal amplifier is arranged on the right side wall of the inner cavity of the detection box, a wireless signal transmitter is arranged at the top of the inner cavity of the detection box, signal lamps are symmetrically arranged on left and right sides of the top of the detection box, and photovoltaic power generation mechanisms are symmetrically arranged on left and right sides of the top of the floating platform. The water-quality online detection device is reasonable in design, the photovoltaic power generation mechanisms have an adjusting function, so that angleof photovoltaic power generation plates can be adjusted according to local illumination angle to enable the photovoltaic power generation plates to better power the detection device; the water-quality detection device is displayed through the signal lamps, so that probability of causing damage to the detection device by ships in water flow can be lowered.
Owner:周高送

Control method, system, electronic equipment and storage medium of headlamp

The invention relates to the technical field of vehicle control, and provides a control method, a control system, electronic equipment and a storage medium of a headlamp, which are applied to a vehicle provided with a light source matrix type headlamp. The control method comprises following steps: in an automatic driving process, when ambient light brightness is lower than a threshold value, the light source matrix type headlamp is turned on; recognizing a lane in front of the vehicle through an obstacle detection sensor, and detecting obstacles in a lane area; when the suspected obstacle is detected, adjusting the irradiation direction of the light source matrix to enable the irradiation range to at least cover the suspected obstacle; identifying suspected obstacles, judging whether the obstacles need to be avoided, and if so, adjusting the driving direction to avoid the suspected obstacles; and if not, adjusting the irradiation direction of the light source matrix to the current driving direction. According to the invention, the focusing area of the light source matrix can be adjusted based on the suspected obstacles in the automatic driving process, so that the local illumination enhancement of the suspected obstacles is realized, the identification of the suspected obstacles is facilitated, and the driving safety is improved.
Owner:AIWAYS AUTOMOBILE CO LTD

Retinex-based image enhancement method in a dark vision environment

The invention belongs to the field of image enhancement and computer vision, and particularly relates to a Retinex-based image enhancement method in a dark vision environment, which comprises the following steps: acquiring image data, and dividing the image data into a global illumination image and a local illumination image; carrying out weighted average on corresponding pixel points of the two images to obtain a preliminary estimation illumination image, carrying out edge-preserving smooth filtering on the preliminary estimation illumination image by adopting improved weighted guided filtering, and carrying out improved adaptive Gamma correction on the filtered illumination image to obtain a corrected estimation illumination image; calculating reflection images of an R channel, a G channel and a B channel by adopting a Retinex algorithm and utilizing the original image and the corrected estimated illumination image, and synthesizing the reflection images of the three channels to obtain an enhanced image. Bright area details can be reserved and halo effect can be reduced while images in the dark vision environment are enhanced, excessive enhancement of the images is avoided, and the images in the dark vision environment can be conveniently recognized, detected and the like.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products