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» Contour-Based Object Detection in Range Images
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ECCV
2008
Springer
15 years 11 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
DGCI
2003
Springer
15 years 2 months ago
Shape Similarity and Visual Parts
Abstract. Human perception of shape is based on visual parts of objects to a point that a single, significant visual part is sufficient to recognize the whole object. For example,...
Longin Jan Latecki, Rolf Lakämper, Diedrich W...
CVPR
2004
IEEE
15 years 1 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
ICVS
1999
Springer
15 years 1 months ago
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...
CVPR
1999
IEEE
15 years 11 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie