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Sketch recognition

About: Sketch recognition is a research topic. Over the lifetime, 1611 publications have been published within this topic receiving 40284 citations.


Papers
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Book ChapterDOI
26 Nov 2007
TL;DR: The main idea is to consider the object recognition task as an active process which is guided by multi-cue attentional indexes, which at the same time correspond to object's parts, which are inherent in the recognition strategy itself.
Abstract: In this paper we propose a novel approach for visual object recognition. The main idea is to consider the object recognition task as an active process which is guided by multi-cue attentional indexes, which at the same time correspond to object's parts. In this method, a visual attention mechanism is carried out. It does not correspond to a different stage (or module) of the recognition process; on the contrary, it is inherent in the recognition strategy itself. Recognition is achieved by means of a sequential search of object's parts: parts selection depends on the current state of the recognition process. The detection of each part constraints the process state in order to reduce the search space (in the overall feature space) for future parts matching. As an illustration, some results for face and pedestrian recognition are presented.

1 citations

01 Jan 2003
TL;DR: This work provides approaches for image's objects identification, by composing the previously detected textured and non--textured regions, for the shape classification of the obtained objects and for a structure-based clustering of those image objects.
Abstract: We have focused on a set of problems related to image pattern recognition, presenting an approach for the graphical objects' detection problem. First, in the introduction, we describe the general aspects of the computer vision system. Then, we provide approaches for image's objects identification, by composing the previously detected textured and non--textured regions, for the shape classification of the obtained objects and for a structure-based clustering of those image objects. Finally, after completing the steps of extraction and recognition, an objects' interpretation method is proposed. Our methods' results could be further applied in image retrieval and image understanding domains.

1 citations

Dissertation
01 Dec 1999

1 citations

01 Jan 2011
TL;DR: This paper aims to provide a history of Finnish computer programming and some of the techniques used to develop and publish types of computer programming languages, as well as some examples of applications.
Abstract: ii Abstract (in Finnish) iiiin Finnish) iii

1 citations

Reference EntryDOI
Florin Cutzu1
15 Jan 2006
TL;DR: The main functions of high-level vision are the recognition and categorization of visual objects and navigation guidance.
Abstract: The main functions of high-level vision are the recognition and categorization of visual objects and navigation guidance. Keywords: alignment; invariants; linear combination of views; object recognition; recognition by parts; visual similarity

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202326
202271
202130
202029
201946
201827