Accurate Object Localization with Shape Masks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2007

Accurate Object Localization with Shape Masks


This paper proposes an object class localization approach which goes beyond bounding boxes, as it also determines the outline of the object. Unlike most current localization methods, our approach does not require any hypothesis parameter space to be defined. Instead, it directly generates, evaluates and clusters shape masks. Thus, the presented framework produces much richer answers to the object class localization problem. For example, it easily learns and detects possible object viewpoints and articulations, which are often well characterized by the object outline. We evaluate the proposed approach on the challenging natural-scene Graz-02 object classes dataset. The results demonstrate the extended localization capabilities of our method.
Fichier principal
Vignette du fichier
MarszalekSchmid-CVPR07-ShapeMasks.pdf (1.78 Mo) Télécharger le fichier
Vignette du fichier
shamask.png (168.97 Ko) Télécharger le fichier
MarszalekSchmid-CVPR07-ShapeMasks-slides.pdf (40.78 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Format : Other

Dates and versions

inria-00548679 , version 1 (20-12-2010)



Marcin Marszałek, Cordelia Schmid. Accurate Object Localization with Shape Masks. CVPR - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2007, Minneapolis, United States. pp.1-8, ⟨10.1109/CVPR.2007.383085⟩. ⟨inria-00548679⟩
192 View
684 Download



Gmail Facebook X LinkedIn More