Logo

Machine Interpretation of Line Drawings

Small book cover: Machine Interpretation of Line Drawings

Machine Interpretation of Line Drawings
by

Publisher: The MIT Press
ISBN/ASIN: 0262192543
ISBN-13: 9780262192545
Number of pages: 236

Description:
This book solves a long-standing problem in computer vision, the interpretation of line drawings and, in doing so answers many of the concerns raised by this problem, particularly with regard to errors in the placement of lines and vertices in the images. Sugihara presents a computational mechanism that functionally mimics human perception in being able to generate three-dimensional descriptions of objects from two-dimensional line drawings. The objects considered are polyhedrons or solid objects bounded by planar faces, and the line drawings are single-view pictures of these objects.

Download or read it online for free here:
Download link
(3.7MB, PDF)

Similar books

Book cover: Notes on Elementary Spectral Graph TheoryNotes on Elementary Spectral Graph Theory
by - arXiv
These are notes on the method of normalized graph cuts and its applications to graph clustering. I provide a thorough treatment of this deeply original method, including complete proofs. The main thrust of this paper is the method of normalized cuts.
(5252 views)
Book cover: Object Detection in Real ImagesObject Detection in Real Images
by - arXiv
We propose a new object detection/recognition method, which improves over the existing methods in every stage of the object detection/recognition process. In addition to the usual features, we propose to use geometric shapes as additional features.
(4405 views)
Book cover: Face RecognitionFace Recognition
by - InTech
This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, and experts in this area.
(6803 views)
Book cover: Vision SystemsVision Systems
by - Cardiff School of Computer Science
From the table of contents: Image Acquisition: 2D Image Input, 3D imaging; Image processing: Fourier Methods, Smoothing Noise; Edge Detection; Edge Linking; Segmentation; Line Labelling; Relaxation Labelling; Optical Flow; Object Recognition.
(9017 views)