Fua, P.[Pascal], and
Hanson, A.J.,
Objective Functions for Feature Discrimination,
IJCAI89(1596-1602). Other versions are:
BibRef
8900
Objective Functions for Feature Discrimination: Theory,
DARPA89(443-460).
BibRef
And:
Objective Functions for Feature Discrimination:
Applications to Semiautomated and Automated Feature Extraction,
DARPA89(676-694).
(SRI) Together, these papers use a
class of objective functions to order labels and maximize the probability of
correct division. It combines geometry (rectangles) and image data
(uniformity) to fit the shape to the data.
BibRef
Fua, P., and
Hanson, A.J.,
An Optimization Framework for Feature Extraction,
MVA(4), No. 2, Spring 1991, pp. 59-87.
BibRef
9100
Fua, P., and
Hanson, A.J.,
Extracting Generic Shapes Using Model-Driven Optimization,
DARPA88(994-1004). Extension of last year's work:
BibRef
8800
Using Generic Geometric Models for Intelligent Shape Extraction,
AAAI-87(706-711).
BibRef
And:
DARPA87(227-233).
Segmentation, Shapes.
Active Contours.
Building Recognition.
Road Detection. Somewhat an extension of the earlier work. The different generic
region or boundary types are used in the extraction and refinement
of the segmentation. Applied to buildings, roads, and trees.
Pieces of the boundary are used to estimate locations for other
pieces.
BibRef
Fua, P.[Pascal], and
Hanson, A.J.,
Resegmentation Using Generic Shape:
Locating General Cultural Objects,
PRL(5), 1987, pp. 243-252.
BibRef
8700
Earlier:
Locating Cultural Regions in Aerial Imagery using Geometric Cues,
DARPA85(271-278).
Segmentation, Edges. (SRI) Improve the segmentations by using straight line sides of
regions as constraints. The regions are found by an Ohlander-type
segmentor and refined by finding straight lines as sides and
looking at the arrangement of the straight lines.
BibRef
Fua, P., and
Leclerc, Y.G.,
Model Driven Edge Detection,
MVA(3), No. 1, 1990, pp. 45-56.
PS File.
BibRef
9000
Earlier:
DARPA88(1016-1021).
BibRef
And: A2, A1:
Finding Object Boundaries Using Guided Gradient Ascent,
DARPA87(888-891).
Segmentation, Edges. Basically a simple large scale edge
detector where the shape of the edge is changed to fit the actual data.
BibRef
Leclerc, Y.G.,
Constructing Simple Stable Descriptions for Image Partitioning,
IJCV(3), No. 1. May 1989, pp. 73-102.
Springer DOI
PS File.
BibRef
8905
Earlier:
DARPA88(365-382).
BibRef
Leclerc, Y.G.,
Image and Boundary Segmentation Via Minimal-Length
Encoding on the Connection Machine,
DARPA89(1056-1069).
Region segmentation and boundary encoding as segments.
BibRef
8900
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Combining Region and Edge Based Techniques .