Color-Encoded Structured Light for Rapid Active Ranging
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Modeling and calibration of automated zoom lenses
Modeling and calibration of automated zoom lenses
Robot Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Telecentric Optics for Computational Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Minimal operator set for passive depth from defocus
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Reading between the lines—a method for extracting dynamic 3D with texture
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
A Variational Approach to Recovering Depth From Defocused Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Compression of time-dependent geometry
I3D '99 Proceedings of the 1999 symposium on Interactive 3D graphics
International Journal of Computer Vision
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Multifocal Projection: A Multiprojector Technique for Increasing Focal Depth
IEEE Transactions on Visualization and Computer Graphics
Projection defocus analysis for scene capture and image display
ACM SIGGRAPH 2006 Papers
An image-based calibration technique of spatial domain depth-from-defocus
Pattern Recognition Letters
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
On defocus, diffusion and depth estimation
Pattern Recognition Letters
Optical Splitting Trees for High-Precision Monocular Imaging
IEEE Computer Graphics and Applications
Active refocusing of images and videos
ACM SIGGRAPH 2007 papers
Fast and cheap object recognition by linear combination of views
Proceedings of the 6th ACM international conference on Image and video retrieval
Constrained Monocular Obstacle Perception with Just One Frame
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
International Journal of Computer Vision
Deep learning from temporal coherence in video
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A fast data collection and augmentation procedure for object recognition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Vision-guided Robot System for Picking Objects by Casting Shadows
International Journal of Robotics Research
Detecting and segmenting un-occluded items by actively casting shadows
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Noise analysis for depth estimation
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Optical signal processing with illumination-encoded filters
Computer Vision and Image Understanding
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
International Journal of Computer Vision
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Image enhancement using calibrated lens simulations
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Reliability measure for shape-from-focus
Image and Vision Computing
Optimized aperture shapes for depth estimation
Pattern Recognition Letters
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Structures of dynamic scenes can only be recovered using a real-time range sensor. Depth from defocus offers an effective solution to fast and dense range estimation. However, accurate depth estimation requires theoretical and practical solutions to a variety of problems including recovery of textureless surfaces, precise blur estimation, and magnification variations caused by defocusing. Both textured and textureless surfaces are recovered using an illumination pattern that is projected via the same optical path used to acquire images. The illumination pattern is optimized to maximize accuracy and spatial resolution in computed depth. The relative blurring in two images is computed using a narrow-band linear operator that is designed by considering all the optical, sensing, and computational elements of the depth from defocus system. Defocus invariant magnification is achieved by the use of an additional aperture in the imaging optics. A prototype focus range sensor has been developed that has a workspace of 1 cubic foot and produces up to 512 脳 480 depth estimates at 30 Hz with an average RMS error of 0.2%. Several experimental results are included to demonstrate the performance of the sensor.