semantic stixels: depth is not enough l. schneider, m ... · l. schneider, m. cordts, t. rehfeld,...

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Semantic Stixels: Depth is Not Enough L. Schneider, M. Cordts, T. Rehfeld, D. Pfeiffer, M. Enzweiler, U. Franke, M. Pollefeys, and S. Roth (IV 2016) I Joint inference of geometric and semantic layout of a scene using stixels I Geometry as a dense disparity map (SGM) I Semantics as a pixel-level semantic scene labelling (CNNs) I Stixel representation with object class information I Better than original Stixel model in terms of geometric accuracy I Complexity (time): linear in the number of object classes (15 Hz on 2 MP images) I Evaluated on the subset of KITTI 2012 annotated semantically, KITTI 2015 (only disparity), Cityscapes (only semantics)

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Page 1: Semantic Stixels: Depth is Not Enough L. Schneider, M ... · L. Schneider, M. Cordts, T. Rehfeld, D. Pfei er, M. Enzweiler, U. Franke, M. Pollefeys, and S. Roth (IV 2016) I Joint

Semantic Stixels: Depth is Not EnoughL. Schneider, M. Cordts, T. Rehfeld, D. Pfeiffer, M. Enzweiler, U. Franke,

M. Pollefeys, and S. Roth (IV 2016)

I Joint inference of geometric and semantic layout of a scene using stixels

I Geometry as a dense disparity map (SGM)

I Semantics as a pixel-level semantic scene labelling (CNNs)

I Stixel representation with object class information

I Better than original Stixel model in terms of geometric accuracy

I Complexity (time): linear in the number of object classes (15 Hz on 2 MP images)

I Evaluated on the subset of KITTI 2012 annotated semantically, KITTI 2015 (onlydisparity), Cityscapes (only semantics)