“…To minimize inherent experimental biases, we implement and validate stroboscopic photo-activation SPT (spaSPT), which minimizes motion-blur bias and tracking errors. We validate Spot-On using experimentally realistic simulations and show that Spot-On outperforms other methods. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…These powerful features are useful to differentiate the target from the surrounding background and are effective for motion blur and illumination variations. To minimize the scale variation problem, we designed a correlation-filter-based scale filter. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The proposed method is validated by image registration experiments using simulated terrain shading, texture and natural landscape images containing different challenges, including illumination variation, lack of texture, motion blur, occlusion and geometric distortions. Further, image-based navigation experiments are carried out to demonstrate that the proposed method is able to correctly recover the trajectory of camera using multimodal target and reference image. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Under the dynamic working conditions of a star sensor, motion blur of the star will appear due to its energy dispersion during imaging, leading to the degradation of the star centroid accuracy and attitude accuracy of the star sensor. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Therefore, face information is distorted due to motion blur. Several studies have examined deblurring of face images. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The image segmentation process is performed by the Attention-UNet structure to achieve high-performance segmentation results in conjunctiva images with motion blur. Motion correction processes with two steps—registration and template matching—are used to correct for large displacements and fine movements. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety, we propose SharpGAN, a new image deblurring method based on the generative adversarial network (GAN). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In contrast to the related work, the proposed method not only avoids motion blur caused by frame-based recognition during docking procedure but also reduces data redundancy with limited on-chip resources. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…It also features feedback that compensates for prediction inaccuracies due to image saturation and explicitly balances motion blur and image noise effects. For validation, stereo cameras mounted on a custom-built motion table allow different AE algorithms to be benchmarked on the same repeated reference trajectory using the stereo implementation of ORB-SLAM3. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…However, the ground-truth labels are usually inherently ambiguous in challenging cases such as motion blur, occlusions, and truncation, leading to poor performance measurement and lower levels of accuracy. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…However, due to textureless areas, illumination change or motion blur, they often acquire poor camera poses or even fail to track. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In order to solve the poor performance of real-time semantic segmentation of night road conditions in video images due to insufficient light and motion blur, this study proposes a scheme: a fuzzy information complementation strategy based on generative models and a network that fuses different intermediate layer outputs to complement spatial semantics which also embeds irregular convolutional attention modules for fine extraction of motion target boundaries. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Beyond the challenges of those datasets, the method proposed is particularly well suited to image sequences taken with short exposure and exhibiting motion blur and lens blur, which are expected in a real-world AR scenario. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Whilst over space, R1-R6s resolve moving objects at saccadic speeds beyond the predicted motion-blur-limit. Our results show how refractory phototransduction and rapid photomechanical photoreceptor contractions jointly sharpen retinal images of moving objects in space-time, enabling hyperacute vision, and explain how such microsaccadic information sampling exceeds the compound eyes’ optical limits. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…When the images of the iris are obtained under unconstrained conditions, an issue of undermined quality is caused by optical and motion blur, off-angle view (the user’s eyes looking somewhere else, not into the front of the camera), specular reflection (SR) and other factors. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Secondly, we use background differential algorithm and bilateral filtering as the preprocessing to alleviate the video noise and motion blur. Inspired by the balance principle of a tumbler, we introduce a MBAM model to describe the body balancing condition by computing the gravity center of a triangle area, which is surrounded by the upper, middle and lower parts of the human body. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Dynamic optical imaging (e.g. time delay integration imaging) is troubled by the motion blur fundamentally arising from mismatching between photo-induced charge transfer and optical image movements. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Offline image-processing software, with several image enhancement algorithms to eliminate motion blur and geometric distortion and to reconstruct the 360° panoramic view, is also presented. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The better event-camera was limited by pixel latency when tracking small objects, resulting in motion blur effects. Sensor bandwidth limited the event-camera in object recognition. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Due to the absorption and scattering effects of water on light, as well as the movement of the carrier, underwater images generally have problems such as noise pollution, color cast and motion blur, which seriously affect the performance of underwater vision-based detection. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso