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» Learning Object Shape: From Drawings to Images
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NIPS
2004
15 years 8 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CHI
2004
ACM
16 years 6 months ago
A suggestive interface for image guided 3D sketching
We present an image guided pen-based suggestive interface for sketching 3D wireframe models. Rather than starting from a blank canvas, existing 2D images of similar objects serve ...
Steve Tsang, Ravin Balakrishnan, Karan Singh, Abhi...
CGA
2007
15 years 6 months ago
From Abstract Painting to Information Visualization
abstract painting and practice can benefit information visualization—even though the two fields have significantly different objectives. This comparison reflects the spirit of ...
Kang Zhang
IS
2010
15 years 5 months ago
VISTO: A new CBIR system for vector images
In this paper, we present the main features of VISTO (Vector Image Serach TOol), a new Content-Based Image Retrieval (CBIR) system for vector images. Though unsuitable for photore...
Tania Di Mascio, Daniele Frigioni, Laura Tarantino
ICRA
2006
IEEE
146views Robotics» more  ICRA 2006»
16 years 17 days ago
Towards 3D Motion Estimation from Deformable Surfaces
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
Adrien Bartoli