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» Deriving Intrinsic Images from Image Sequences
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
16 years 1 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 6 months ago
Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging, radar, and ultrawideband communication. Recently, a new framework, referred to as f...
Ronen Tur, Yonina C. Eldar, Zvi Friedman
ICCV
2003
IEEE
16 years 8 months ago
Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo
This paper presents an algorithm for computing optical flow, shape, motion, lighting, and albedo from an image sequence of a rigidly-moving Lambertian object under distant illumin...
Li Zhang, Brian Curless, Aaron Hertzmann, Steven M...
182
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ECCV
1996
Springer
16 years 8 months ago
Euclidean Reconstruction: From Paraperspective to Perspective
In this paper we describe a method to perform Euclidean reconstruction with a perspective camera model. It incrementally performs reconstruction with a paraperspective camera in or...
Stéphane Christy, Radu Horaud
ICPR
2008
IEEE
16 years 8 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang