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CRV
2005
IEEE
103views Robotics» more  CRV 2005»
14 years 2 months ago
A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth
: We report on 4 algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate inte...
Baozhong Tian, John L. Barron
CVBIA
2005
Springer
14 years 2 months ago
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis
Accurate and robust estimation of the three-dimensional left ventricular geometry and deformation has important clinical implications for better diagnosis and understanding of isch...
Ling Zhuang, Huafeng Liu, Wei Chen, Hujun Bao, Pen...
ECCV
1998
Springer
14 years 10 months ago
Object Oriented Motion Estimation in Color Image Sequences
Abstract. This paper describes a color region-based approach to motion estimation in color image sequences. The system is intended for robotic and vehicle guidance applications whe...
Volker Rehrmann
ECCV
2002
Springer
14 years 10 months ago
On the Motion and Appearance of Specularities in Image Sequences
Real scenes are full of specularities (highlights and reflections), and yet most vision algorithms ignore them. In order to capture the appearance of realistic scenes, we need to ...
Rahul Swaminathan, Sing Bing Kang, Richard Szelisk...
SCVMA
2004
Springer
14 years 1 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel