We address the elusive goal of estimating optical flow both accurately and efficiently by
adopting a sparse-to-dense approach. Given a set of sparse matches, we regress to dense …

Since digital media has become increasingly popular, video processing has expanded in
recent years. Video processing systems require high levels of processing, which is one of …

In the wake of the DARPA Robotics Challenge, the task for robots to drive vehicles has been
expected to be a method for robots to transport themselves to the disaster site where it is …

Superpixels aim to group homogenous pixels by a series of characteristics in an image.
They decimate redundancy that may be utilized later by more computationally expensive …

In order to navigate autonomously, many self-driving vehicles require precise localization
within an a priori known map that is annotated with exact lane locations, traffic signs, and …

Visual navigation is a recent trend to navigate robot. This paper presents the utilization of
optical flow technique to achieve this with robust results. It helps in detecting the relativistic …

Superpixels are perceptually meaningful atomic regions that can effectively capture image
features. We propose a novel scale adaptive supervoxel segmentation algorithm for RGB-D …

由单目图像序列光流重建物体或场景的三维运动与结构是计算机视觉, 图像处理与模式识别等
领域的重要研究内容, 在机器人视觉, 无人机导航, 车辆辅助驾驶以及医学影像分析等方面具有 …

This paper describes a way of the motion estimation of four-rotor UAV based on video
streaming, mainly researches the real-time vision algorithms, comprehensively completes …

Insects are capable of agile pursuit of small targets while flying in complex cluttered
environments. Additionally, insects are able to discern a moving background from smaller …