Titlebook: Outdoor and Large-Scale Real-World Scene Analysis; 15th International W Frank Dellaert,Jan-Michael Frahm,Bodo Rosenhahn Conference proceedi

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Achievements and Challenges in Recognizing and Reconstructing Civil Infrastructure,reconstruct them in a 3D model? In this paper, strategies for infrastructure object recognition and reconstruction are presented, to set the stage for posing the question above and discuss future research in featureless, large/planar object recognition and modeling.

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Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment, idea is to identify a sub-problem (subgraph) that can be solved efficiently by direct methods and use its solution to build a preconditioner for the conjugate gradient method. The difference is that GSP is more general and leads to more effective preconditioners. When applied to the “.” datasets [2], our method shows promising results.

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An Introduction to Random Forests for Multi-class Object Detection,ming [37]. In this paper, we describe the general framework of random forests for multi-class object detection in images and give an overview of recent developments and implementation details that are relevant for practitioners.

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Conference proceedings 2012d open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture.

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Pyramid Transform and Scale-Space Analysis in Image Analysis,el. Since the convolution with the Gaussian kernel for smoothing is derived as the solution of a linear diffusion equation, the pyramid transform is performed by applying a downsampling operation to the solution of the linear diffusion equation.