High-Level Vision : Object Recognition and Visual Cognition

個数:

High-Level Vision : Object Recognition and Visual Cognition

  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6~9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 412 p.
  • 言語 ENG
  • 商品コード 9780262710077
  • DDC分類 152.14

基本説明

New in paperback. Hardcover was published in 1996.

Full Description


Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps.The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex.Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.

Contents

Object recognitionobject recognition is difficult. Approaches to object recognition: invariant properties and feature spaces; parts and structural descriptions; the alignment approach; which is the correct approach?. The alignment of pictorial descriptions: using corresponding features; the use of multiple models for 3-D objects; aligning pictorial descriptions; transforming the image or the models? before and after alignment. The alignment of smooth bounding contours: the curvate method; accuracy of the curvature method; empirical testing. Recognition by the combination of views: modelling objects by view combinations; objects with sharp edges; using two views only; using a single view; the use of depth values; summary of the basic scheme; objects with smooth boundaries; recognition by image combinations; extensions to the view-combination scheme; psychophysical and physiological evidence; interim conclusions: recognition by multiple views. Classifications: classification and identification; the role of object classification; class-based processing; using class prototypes; pictorial classification; evidence from psychology and biology; are classes in the world or in our head? the organization of recognition memory. Image and model correspondence: feature correspondence; contour matching; correspondence-less methods; correspondence processes in human vision; model construction; compensating for illumination changes. Segmentation and saliency: is segmentation feasible? bottom-up and top-down segmentation; extracting globally salient structures; saliency, selection, and completion; what can bottom-up segmentation achieve? Visual cognition and visual routines: perceiving "inside" and "outside"; spatial analysis by visual routines; conclusions and open problems; the elemental operations; the assembly and storage of routines; routines and recognition. Sequence seeking and counter streams - a model for visual cortex: the sequence-seeking scheme; biological embodiment; summary. Appendices: alignment by feature; the curvature method; errors of the curvature method; locally affine matching; definitions.