- Read more about NEUROMORPHIC VISION SENSING FOR CNN-BASED ACTION RECOGNITION
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Neuromorphic vision sensing (NVS) hardware is now gaining traction as a low-power/high-speed visual sensing technology that circumvents the limitations of conventional active pixel sensing (APS) cameras. While object detection and tracking models have been investigated in conjunction with NVS, there is currently little work on NVS for higher-level semantic tasks, such as action recognition.
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- Read more about Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
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- Read more about E-CNN: Accurate Spherical Camera Rotation Estimation via Uniformization of Distorted Optical Flow Fields
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Spherical cameras, which can acquire all-round information, are effective to estimate rotation for robotic applications. Recently, Convolutional Neural Networks have shown great robustness in solving such regression problems. However they are designed for planar images and cannot deal with the non-uniform distortion present in spherical images, when expressed in the planar equirectangular projection. This can lower the accuracy of motion estimation. In this research, we propose an Equirectangular-Convolutional Neural Network (E-CNN) to solve this issue.
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- Read more about Blind Quality Assessment for 3D-Synthesized Images by Measuring Geometric Distortions and Image Complexity
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Free viewpoint video (FVV), owing to its comprehensive applications in immersive entertainment, remote surveillance and distanced education, has received extensive attention and been regarded as a new important direction of video technology development. Depth image-based rendering (DIBR) technologies are employed to synthesize FVV images in the “blind” environment. Therefore, a real-time reliable blind quality assessment metric is urgently required. However, existing stste-of-art quality assessment methods are limited to estimate geometric distortions generated by DIBR.
icassp-2019.pdf
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- Read more about Fast Edge Preserving 2D Smoothing Filter using Indicator Function
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Edge-preserving smoothing filter smoothes the textures while it preserves the information of sharp edges. In image processing, this filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing.
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- Read more about Image reconstruction by orthogonal moments derived by the parity of polynomial
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Moments are a kind of classical feature descriptors for image analysis. Orthogonal moments, due to their computation
efficiency and numerical stability, have been widely developed.We propose a set of orthogonal polynomials which are
derived from the parity of Hermite polynomials. The new orthogonal polynomials are composed of either odd orders
or even ones of Hermite polynomials. They, however, are orthogonal in different domains. The corresponding orthogonal
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- Read more about The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems
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In this work we investigate the practicability of stochastic gradient descent and recently introduced variants with variance-reduction techniques in imaging inverse problems, such as space-varying image deblurring. Such algorithms have been shown in machine learning literature to have optimal complexities in theory, and provide great improvement empirically over the full gradient methods. Surprisingly, in some tasks such as image deblurring, many of such methods fail to converge faster than the accelerated full gradient method (FISTA), even in terms of epoch counts.
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- Read more about 3D reconstruction using single-photon Lidar data: exploiting the widths of the returns
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Single-photon light detection and ranging (Lidar) data can be used to capture depth and intensity profiles of a 3D scene. In a general setting, the scenes can have an unknown number of surfaces per pixel (semi-transparent surfaces or outdoor measurements), high background noise (strong ambient illumination), can be acquired by systems with a broad instrumental response (non-parallel laser beam with respect to the target surface) and with possibly high attenuating media (underwater conditions).
ICASSP19.pptx
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