Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

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0302-9743 on, ECCV 2014, held in Zurich, Switzerland, in September 2014..The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion an

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From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matricesen beneficial for many recognition tasks. Unfortunately, computation on the Riemannian manifold of SPD matrices –especially of high-dimensional ones– comes at a high cost that limits the applicability of existing techniques. In this paper we introduce an approach that lets us handle high-dimensional

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Unsupervised Dense Object Discovery, Detection, Tracking and Reconstructionsystem simultaneously localizes a moving camera, and discovers a set of shape and appearance models for multiple objects, including the scene background. Each object model is represented by both a 2D and 3D level-set. This representation is used to improve detection, 2D-tracking, 3D-registration and

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Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practicehe location and velocity of potential obstacles. Subpixel disparity accuracy in selected image regions is therefore essential. Evaluation benchmarks for stereo correspondence algorithms, such as the popular Middlebury and KITTI frameworks, provide important reference values regarding dense matching

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