Studies in biological vision have always been a great source of inspiration for design of
computer vision algorithms. In the past, several successful methods were designed with …

Videos contain complex spatially-varying motion blur due to the combination of object
motion, camera motion, and depth variation with finite shutter speeds. Existing methods to …

This paper extends the classical war**-based optical flow method to achieve accurate
flow in the presence of spatially-varying motion blur. Our idea is to parameterize the …

Abstract Systems, methods, and media for high dynamic range imaging are provided, the
systems comprising: an image sensor; and a hardware processor configured to: cause the …

Reality: The final frontier. Since the early beginnings of computer graphics, creating
authentic models of real-world objects and achieving visual realism have been major goals …

This paper proposes a novel motion field estimation method based on a 3D light detection
and ranging (LiDAR) sensor for motion sensing for intelligent driverless vehicles and active …

Estimating both defocus blur and motion blur regions from a single monocular image is a
challenging research area in modern image processing and computer vision. Most existing …

Motion blur due to camera shake is a common occurrence. During image capture, the
apparent motion of a scene point in the image plane varies according to both camera motion …

We propose a novel technique for three-dimensional three-component (3D3C) interfacial
flow measurement. It is based on the particle streak velocimetry principle. A relatively long …

In this paper, we propose a method to identify the frequency response of a fast-rate motion
system using measurements from a slow-rate image sensor. The integrative nature of the …