A Generalized Depth Estimation Algorithm with a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of Methods for Determining Depth from Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth from defocus: a spatial domain approach
International Journal of Computer Vision
International Journal of Computer Vision
Image-based motion blur for stop motion animation
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Robot Vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth Estimation and Image Restoration Using Defocused Stereo Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vehicle Speed Detection and Identification from a Single Motion Blurred Image
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
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Finding the distance of an object in a scene from intensity images is an essential problem in many applications. In this work, we present a novel method for depth recovery from a single motion and defocus blurred image. Under the assumption of uniform linear motion between the camera and the scene during finite exposure time, both the pinhole model and the camera with a finite aperture are considered. The blur extent is estimated by intensity profile analysis and focus measurement of the deblurred images. The proposed method has been verified experimentally using edge images.