Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Tour into the picture: using a spidery mesh interface to make animation from a single image
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction
International Journal of Computer Vision
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Closed Form Solution to Natural Image Matting
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
Putting Objects in Perspective
International Journal of Computer Vision
Make3D: Learning 3D Scene Structure from a Single Still Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recovery of Depth from a Single Defocused Image
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Depth estimation using monocular and stereo cues
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Improved Single Image Dehazing Using Geometry
DICTA '09 Proceedings of the 2009 Digital Image Computing: Techniques and Applications
Adaptive image restoration based on local robust blur estimation
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Defocus map estimation from a single image
Pattern Recognition
Image smoothing via L0 gradient minimization
Proceedings of the 2011 SIGGRAPH Asia Conference
Single Image Multi-focusing Based on Local Blur Estimation
ICIG '11 Proceedings of the 2011 Sixth International Conference on Image and Graphics
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Demand to depth estimation from a single image is emerging in more and more multimedia applications, such as human-computer interaction, 3D video generation and representation. In this paper, we manage to solve this challenging problem by using the defocused cues contained in the image. Our algorithm is based on depth local consistency assumption that the scene in input image can be modeled as multiple planar surfaces, and each over-segmented patch corresponds to a small p lanar surface in the 3D scene. As a result, a graph-based algorithm is firstly applied to obtain an over-segmentation result of the input image. Based on the sharp edge prior, the blur amounts on the boundaries of segmentations are calculated according to the edge width at the corresponding locations. Then, the blur amounts of the unknown regions are interpolated from the boundary regions using a plane fitting method. In the next, an image guided filtering method is applied to refine the obtained blur map. To eliminate the affect of the tiny textures, an L0 gradient minimization algorithm is applied to the input image to preserving the prominent boundaries, and the resulting image is served as the guided image. At last, based on a simple geometry prior of photograph, a binary graph cut algorithm is adopted to eliminate the ambiguity in the depth map over the focal plane. The performance of our algorithm is evaluated by various test images. The results demonstrate our algorithm produces high quality depth maps, outperforming state of the art.