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ISVC
2007
Springer
14 years 1 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
ICPR
2010
IEEE
13 years 11 months ago
Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor
In this paper we present a method for the retrieval of images in terms of perceptual similarity. Local color information is added to the shape context descriptor in order to obtain...
Marçal Rusiñol, Farshad Nourbakhsh, Dimosthenis ...
IJCV
2010
184views more  IJCV 2010»
13 years 6 months ago
A 3D Shape Retrieval Framework Supporting Multimodal Queries
This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach...
Petros Daras, Apostolos Axenopoulos
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
14 years 18 days ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo
ICIAP
1995
ACM
13 years 11 months ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala