An active patch model for real world appearance reconstruction

Bazyari, Farhad and Tzimiropoulos, Georgios (2015) An active patch model for real world appearance reconstruction. Lecture Notes in Computer Science, 8925 . pp. 443-456. ISSN 0302-9743

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Item Type:Article
Item Status:Live Archive

Abstract

Dense mapping has been a very active field of research in recent years, promising various new application in computer vision, computer graphics, robotics, etc. Most of the work done on dense mapping use low-level features, such as occupancy grid, with some very recent work using high-level features, such as objects. In our work we use an active patch model to learn the prominent, primitive shapes commonly found in indoor environments. This model is then fitted to coming data to reconstruct the 3D scene. We use Gauss-Newton method to jointly optimize for appearance reconstruction error and geometric transformation differences. Finally we compare our results with Kinect Fusion [6]. © Springer International Publishing Switzerland 2015.

Additional Information:13th European Conference on Computer Vision, ECCV 2014 ; Conference Date: 6 September 2014 Through 12 September 2014; Conference Code:115709
Keywords:Computer graphics, Computer vision, Mapping, Mathematical transformations, Newton-Raphson method, Deformable patches, Gauss-Newton methods, Gauss-Newton optimization, Geometric transformations, High-level features, Indoor environment, Low-level features, Reconstruction error, Three dimensional computer graphics, bmjgoldcheck, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:17033
Deposited On:10 Apr 2015 10:35

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