Camera Geometries for Image Matching in 3-D Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rational Filters for Passive Depth from Defocus
International Journal of Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Depth Recovery from Motion Blurred Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur
3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Shape from Defocus via Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Estimating the 3D direction of a translating camera from a single motion-blurred image
Pattern Recognition Letters
Efficient Euclidean projections in linear time
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
On the Apparent Transparency of a Motion Blurred Object
International Journal of Computer Vision
Image deblurring using inertial measurement sensors
ACM SIGGRAPH 2010 papers
Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
Space-variant deblurring using one blurred and one underexposed image
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Single image deblurring using motion density functions
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Bayesian blind deconvolution from differently exposed image pairs
IEEE Transactions on Image Processing
Motion Field Estimation from Alternate Exposure Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Unrestrained Depth Inference with Coherent Occlusion Filling
International Journal of Computer Vision
Structure from motion blur in low light
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Non-uniform Deblurring for Shaken Images
International Journal of Computer Vision
Space-Variant Restoration of Images Degraded by Camera Motion Blur
IEEE Transactions on Image Processing
Optical flow in the presence of spatially-varying motion blur
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Fast removal of non-uniform camera shake
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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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 and scene structure. Our objective is to infer the camera motion and the depth map of static scenes using motion blur as a cue. To this end, we use an unblurred---blurred image pair. Initially, we develop a technique to estimate the transformation spread function (TSF) which symbolizes the camera shake. This technique uses blur kernels estimated at different points across the image. Based on the estimated TSF, we recover the complete depth map of the scene within a regularization framework.