By Alessandro Lanza, Federico Tombari, Luigi Di Stefano (auth.), Reinhard Koch, Fay Huang (eds.)
The two-volume set LNCS 6468-6469 comprises the conscientiously chosen and reviewed papers awarded on the 8 workshops that have been held along side the tenth Asian convention on computing device imaginative and prescient, in Queenstown, New Zealand, in November 2010.
From a complete of 167 submissions to all workshops, 89 papers have been chosen for booklet. The contributions are grouped jointly in accordance with the most workshops themes, which have been: computational images and aesthetics; machine imaginative and prescient in car know-how: from Earth to Mars; digital cultural background; subspace established equipment; video occasion categorization, tagging and retrieval; visible surveillance; software of computing device imaginative and prescient for combined and augmented reality.
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Extra resources for Computer Vision – ACCV 2010 Workshops: ACCV 2010 International Workshops, Queenstown, New Zealand, November 8-9, 2010, Revised Selected Papers, Part I
Ruyi Jiang, Reinhard Klette, and Shigang Wang XXIX 214 Object Discrimination and Tracking in the Surroundings of a Vehicle by a Combined Laser Scanner Stereo System . . . . . . . . . . . . Mathias Haberjahn and Ralf Reulke 225 Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition using B´ezier Curves . . . . . . . . . . . . . . . . . . Martin Roser, Julian Kurz, and Andreas Geiger 235 Illumination Invariant Cost Functions in Semi-Global Matching .
It also pointed out that highly accurate estimate for full ﬂow does not necessarily provide an accurate estimation of ego-motion because it also depends on the error characteristic within the estimated full ﬂow ﬁeld. A few methods have been proposed to determine camera motion from the normal ﬂow ﬁeld directly. Such methods are often referred to as the direct methods. A classical direct method is , in which only camera motion having pure translation, pure rotation, or a motion with known rotation can be recovered.
Rui Ishiyama and Nobuyuki Yasukawa 394 404 414 424 A Brief History of the Subspace Methods . . . . . . . . . . . . . . Hitoshi Sakano 434 Author Index . . . . . . . . . . . . . . . . . . . . . . . . . it Abstract. This paper is aimed at investigating background subtraction based on second-order polynomial models. Recently, preliminary results suggested that quadratic models hold the potential to yield superior performance in handling common disturbance factors, such as noise, sudden illumination changes and variations of camera parameters, with respect to state-of-the-art background subtraction methods.