Ebook: Surfaces in Range Image Understanding

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.

---

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.

---

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.
Content:
Front Matter....Pages i-xv
Introduction....Pages 1-33
Object Recognition and Segmentation....Pages 34-62
Surface Curvature Characteristics....Pages 63-115
From Surface Labels to Surface Primitives....Pages 116-175
Description Combination and Region Merging....Pages 176-189
Region Edges....Pages 190-209
Experimental Results....Pages 210-287
Conclusions and Future Directions....Pages 289-297
Back Matter....Pages 298-340

---

Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.
Content:
Front Matter....Pages i-xv
Introduction....Pages 1-33
Object Recognition and Segmentation....Pages 34-62
Surface Curvature Characteristics....Pages 63-115
From Surface Labels to Surface Primitives....Pages 116-175
Description Combination and Region Merging....Pages 176-189
Region Edges....Pages 190-209
Experimental Results....Pages 210-287
Conclusions and Future Directions....Pages 289-297
Back Matter....Pages 298-340
....