MVA 1992 - PDF Preprint Papers

MVA 1992

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MVA
1992

276views Computer Vision» more MVA 1992»

MAPP2200 Smart Vision Sensor. Programmability and Adaptivity

13 years 5 months ago

Download b2.cvl.iis.u-tokyo.ac.jp

Thispaper brieflydescribesthearchitectureandfunctions of thesmartvision sensorMAPP2200and showsexamples of the assembler syntax which forms the basis of the softwaredevelopment.?t...

Anders Åström, Robert Forchheimer

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Id	Views	Title	Status

1	276	MAPP2200 Smart Vision Sensor. Programmability and Adaptivity	claim
2	188	The Programmable and Configurable Low Level Vision Unit of the HERMIA Machine	claim
3	173	VLSI Optimal Edge Detection Chip: Canny-Deriche Filter	claim
4	170	An Host-Target Environment for Real Time Image Processing	claim
5	166	Estimation and Interpretation of Optical Flow Fields for Counting Moving Objects	claim
6	159	Qualitative Visual Interpretation of 3d Hand Gestures Using Motion Parallax	claim
7	143	A Real-Time Vision System Using Integrated Memory Array Processor Prototype LSI	claim
8	140	Background Image Generation by Cooperative Parallel Processing Under Severe Outdoor Condition	claim
9	131	A New Perceptual Approach to Noisy X-Ray Image Segmentation	claim
10	128	Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights	claim
11	127	A Parallel Topological Map for Image Segmentation	claim
12	124	Separation of Textual and Non-textual Information within Mixed-Mode Documents	claim
13	120	3-D Curved Object Recognition Based on Parameter Nets Weighted with Feature Saliency. . . .	claim
14	118	A Mobile Robot for Visual Measurements in Architectural Applications	claim
15	117	Representing and Utilising Knowledge for Understanding Structured Documents	claim
16	115	An OCR System for Printed Documents	claim
17	113	An Image Sensor for Sheet-of-Light Range Imaging	claim
18	110	Region-Based Top-Down Segmentation Controlled by Stereo Matching	claim
19	110	A Multi-Scale Regularity Measure as Geometric Criterion for Image Segmentation	claim
20	110	Automatic Digital Elevation Model Extraction Using SPOT Satellite Image	claim
21	109	Shape from Shading on Textured Cylindrical Surface - Restoring Distorted Scanner Images of Unfolded Book Surfaces	claim
22	106	Object Recognition Using Temporal Pattern Recognition Networks with Adaptive Segmentation of Quantizer Neuron Architecture (TASQA)	claim
23	105	Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence	claim
24	105	Image Sequence Analysis Using Color Multiplex Image	claim
25	101	Contour Based Image Segmentation Process on a Parallel Vision Machine	claim
26	99	The Domain of Orthogonal Transforms and the Understanding of Image Features	claim
27	99	A Hybrid Approach towards Segmentation of Range Images	claim
28	98	Massively Parallel Image Segmentation on the Connection Machine	claim
29	98	A Hierarchical Determination of Optimal Camera and Light-Source Positions for Model-Based Recognition	claim
30	93	Recovering Depth in Stereo Calculation	claim
31	91	Long Image Sequence Motion Analysis Using Polynomial Motion Models	claim
32	91	Contour Map Reconstruction via Multi-Module Parallel Computational Scheme	claim
33	89	High Speed Autofocus for Microscopic Images	claim
34	88	Theoretical Analysis of Scanning Electron Microscopes with Plural Detectors as an Application Field of Photometric Stereo	claim
35	88	Target Image Extraction for Face Recognition Using the Sub-Space Classification Method	claim
36	83	New Architectures for Vision	claim
37	83	Stereo Matching Based on Iterative Incompatibility Revision	claim
38	81	Modal Descriptions for Recognition and Tracking	claim
39	81	Neural Networks Applied to Recognition of CCD Camera Images where a 3-Digit Number is Stamped on the Surface of Chip Resistors	claim
40	81	An Experiment of Realization of Fully Automated Keyword Extraction in Image Database System	claim
41	80	Technical Drawing Recognition and Understanding: From Pixels to Semantics	claim
42	79	A New Parallel Scheme for Robust Segmentation of Textured Images	claim
43	73	Model Based Object Recognition Using Modified Coded Boundary Representation (MCBR) Method	claim
44	73	Correspondence of Surfaces in a Sequence of Range Images for Motion Estimation and Tracking	claim
45	72	Transform Clustering for Model-Image Feature Correspondence	claim
46	68	Understanding Rule Generation Supporting System for Drawing Understanding using Interaction with User	claim
47	68	A Technique for Reconstructing Shape of Specular Surfaces	claim
48	62	New Machine Vision Applications in Germany	claim

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