3-D motion estimation, understanding, and prediction from nosiy image sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of pattern recognition and image processing (vol. 2)
Nonrigid motion analysis under small deformations
Nonrigid motion analysis under small deformations
Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical systems
Graphical Models and Image Processing
Recovering estimates of fluid flow from image sequence data
Computer Vision and Image Understanding
Implementation of an Automatic Semi-Fluid Motion Analysis Algorithm on a Massively Parallel Computer
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
2D Fluid Motion Analysis from a Single Image
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Structure and semi-fluid motion analysis of stereoscopic satellite images for cloud tracking
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Coupled, multi-resolution stereo and motion analysis
ISCV '95 Proceedings of the International Symposium on Computer Vision
Nonrigid motion recovery for 3D surfaces
Image and Vision Computing
A sensitivity analysis method and its application in physics-based nonrigid motion modeling
Image and Vision Computing
Kinematic sets for real-time robust articulated object tracking
Image and Vision Computing
Robust processing of optical flow of fluids
IEEE Transactions on Image Processing
A computationally efficient method for sequential MAP-MRF cloud detection
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Parallel implementation of the integral histogram
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Applications of the discrete hodge helmholtz decomposition to image and video processing
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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Tracking both structure and motion of nonrigid objects from monocular images is an important problem in vision. In this paper, a hierarchical method which integrates local analysis (that recovers small details) and global analysis (that appropriately limits possible nonrigid behaviors) is developed to recover dense depth values and nonrigid motion from a sequence of 2D satellite cloud images without any prior knowledge of point correspondences. This problem is challenging not only due to the absence of correspondence information but also due to the lack of depth cues in the 2D cloud images (scaled orthographic projection). In our method, the cloud images are segmented into several small regions and local analysis is performed for each region. A recursive algorithm is proposed to integrate local analysis with appropriate global fluid model constraints, based on which a structure and motion analysis system, SMAS, is developed. We believe that this is the first reported system in estimating dense structure and nonrigid motion under scaled orthographic views using fluid model constraints. Experiments on cloud image sequences captured by meteorological satellites (GOES-8 and GOES-9) have been performed using our system, along with their validation and analyses. Both structure and 3D motion correspondences are estimated to subpixel accuracy. Our results are very encouraging and have many potential applications in earth and space sciences, especially in cloud models for weather prediction.