[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Pyramid based depth from focus

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Evaluation of quantization error in computer vision

✍ Kamgar-Parsi, B.R.; Kamgar-Parsi, B.Z. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press ⚖ 740 KB

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Graph-based vectorization method for line patterns

✍ Suzuki, S. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press 🌐 English ⚖ 560 KB

Very Small, Hard-to-read Type Makes This Publication Dense And A Challenge To Read. Over 125 Papers From A Variety Of Participants In The 1988 Computer Vision And Pattern Recognition Conference. Subjects Covered Include Calibration, Image Analysis, Stereo, Edge And Feature Extraction, Representation

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Motion analysis of nonrigid surfaces

✍ Goldgof, D.B.; Lee, H.; Huang, T.S. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press 🌐 English ⚖ 726 KB

Very Small, Hard-to-read Type Makes This Publication Dense And A Challenge To Read. Over 125 Papers From A Variety Of Participants In The 1988 Computer Vision And Pattern Recognition Conference. Subjects Covered Include Calibration, Image Analysis, Stereo, Edge And Feature Extraction, Representation

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Image computations on reconfigurable VLSI arrays

✍ Miller, R.; Prasanna-Kumar, V.K.; Reisis, D.I.; Stout, Q.F. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press ⚖ 641 KB

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Object recognition by affine invariant matching

✍ Lamdan, Y.; Schwartz, J.T.; Wolfson, H.J. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press 🌐 English ⚖ 811 KB

Very Small, Hard-to-read Type Makes This Publication Dense And A Challenge To Read. Over 125 Papers From A Variety Of Participants In The 1988 Computer Vision And Pattern Recognition Conference. Subjects Covered Include Calibration, Image Analysis, Stereo, Edge And Feature Extraction, Representation

[IEEE Comput. Soc. Press Proceedings CVP

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Shape from texture using the Wigner distribution

✍ Jau, Y.C.; Chin, R.T. 📂 Article 📅 1988 🏛 IEEE Comput. Soc. Press ⚖ 711 KB

[IEEE Comput. Soc. Press Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Ann Arbor, MI, USA (5-9 June 1988)] Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition - Pyramid based depth from focus

✦ Synopsis