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This paper presents a novel stereo-based visual odometry approach that provides state-of-the-art results in real time, both indoors and outdoors. Our proposed method follows the procedure of computing optical flow and stereo disparity to minimize the re-projection error of tracked fea ture points. However, instead of following the traditional approach of performing this task using only consecutive...
This paper presents the capturability analysis of a three-dimensional guidance law that provides a desired angular acceleration of the heading angle to a pursuer. The relative rotational motion between a pursuer and an evader is represented by an equation similar to the equation of motion for a spherical pendulum with a disturbance. A set of sufficient conditions for successful pursuit are derived,...
We propose a semi-Markov model trained in a max-margin learning framework for mitosis event segmentation in large-scale time-lapse phase contrast microscopy image sequences of stem cell populations. Our method consists of three steps. First, we apply a constrained optimization based microscopy image segmentation method that exploits phase contrast optics to extract candidate subsequences in the input...
We propose a method for geometric calibration of an active vision system, composed of a projector and a camera, using structured light projection. Unlike existing methods of self-calibration for projector-camera systems, our method estimates the intrinsic parameters of both the projector and the camera as well as extrinsic parameters except a global scale without any calibration apparatus such as...
Long-term human motion is composed of an ensemble of different activities with varying complexity. This makes it challenging to develop models to accurately estimate human motion. In this paper, we exploit the dependencies that exist between posture and motion for long-term human motion estimation. We propose to model the nonlinear motion manifold as a collection of local linear models, noting that...
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