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2020 – today
- 2024
- [j28]Shovakar Bhattacharjee, Palanisamy Shanmugam
, Sukhendu Das
Attention-Guided Convolution Neural Network Assisted With Handcrafted Features for Ship Classification in Low-Resolution Sentinel-1 SAR Image Data. IEEE Access 12: 48668-48685 (2024) - [j27]Pooja Kumari
Am I readable? Transfer learning based document image rectification. Int. J. Document Anal. Recognit. 27(3): 433-446 (2024) - [j26]Sonam Gupta, Snehal Singh Tomar, Grigorios Chrysos, Sukhendu Das, Ambasamudram Narayanan Rajagopalan:
PNeRV: A Polynomial Neural Representation for Videos. Trans. Mach. Learn. Res. 2024 (2024) - [c90]Saurabh Kumar Jain, Sukhendu Das:
Stochastic Binary Network for Universal Domain Adaptation. WACV 2024: 106-115 - [i9]Sonam Gupta, Snehal Singh Tomar, Grigorios G. Chrysos, Sukhendu Das, A. N. Rajagopalan:
PNeRV: A Polynomial Neural Representation for Videos. CoRR abs/2406.19299 (2024) - 2023
- [j25]Shovakar Bhattacharjee, Palanisamy Shanmugam
A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images. IEEE Access 11: 94415-94427 (2023) - [c89]Saurabh Kumar Jain, Sukhendu Das:
MARRS: Modern Backbones Assisted Co-training for Rapid and Robust Semi-Supervised Domain Adaptation. CVPR Workshops 2023: 4580-4589 - [c88]Pooja Kumari
Single View Homography Estimation for an Inclined Textured Planar Surface: Overcoming the Inverse and Ill-Posed Challenge! ICVGIP 2023: 2:1-2:9 - [c87]Binoy Saha
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information. PReMI 2023: 28-37 - 2022
- [c86]Sonam Gupta, Arti Keshari, Sukhendu Das:
RV-GAN: Recurrent GAN for Unconditional Video Generation. CVPR Workshops 2022: 2023-2032 - [c85]Sonam Gupta
Controllable Image Synthesis via Feature Mask Coupling using Implicit Neural Representation✱. ICVGIP 2022: 45:1-45:9 - [c84]Binoy Saha, Neha Shah, Sukhendu Das:
Navigational Aid for Open-Ended Surveillance, by Fusing Estimated Depth and Scene Segmentation Maps, Using RGB Images of Indoor Scenes. SPCOM 2022: 1-5 - [i8]Binoy Saha, Sukhendu Das:
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL). CoRR abs/2202.02567 (2022) - [i7]Arti Keshari, Sonam Gupta, Sukhendu Das:
V3GAN: Decomposing Background, Foreground and Motion for Video Generation. CoRR abs/2203.14074 (2022) - [i6]Binoy Saha, Sukhendu Das:
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information. CoRR abs/2211.14750 (2022) - 2021
- [c83]Arti Keshari, Sonam Gupta, Sukhendu Das:
V3GAN: Decomposing Background, Foreground and Motion for Video Generation. BMVC 2021: 300 - [c82]Sonam Gupta, Arti Keshari, Sukhendu Das:
G3AN++: exploring wide GANs with complementary feature learning for video generation. ICVGIP 2021: 23:1-23:9 - [c81]Sonam Gupta
Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences. PReMI 2021: 63-71 - [c80]Sadbhavana Babar, Sukhendu Das:
Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization. WACV 2021: 1009-1018 - 2020
- [j24]Avishek Bhattacharjee
D2SC-GAN: Dual Deep-Shallow Channeled Generative Adversarial Network, for Resolving Low-Resolution Faces for Recognition in Classroom Scenarios. IEEE Trans. Biom. Behav. Identity Sci. 2(3): 223-234 (2020) - [c79]Janani Ramaswamy, Sukhendu Das:
See the Sound, Hear the Pixels. WACV 2020: 2959-2968 - [i5]Samik Banerjee
SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion. CoRR abs/2002.08448 (2020) - [i4]Jasmeen Kaur, Sukhendu Das:
Future Frame Prediction of a Video Sequence. CoRR abs/2009.01689 (2020)
2010 – 2019
- 2019
- [c78]Sauradip Nag, Saptakatha Adak, Sukhendu Das:
What's There in the Dark. ICIP 2019: 2996-3000 - [c77]Sandeep Narayan Parameswaran
SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention. ICONIP (3) 2019: 64-76 - [c76]Sayanti Bardhan
Visual Saliency Detection via Convolutional Gated Recurrent Units. ICONIP (2) 2019: 162-174 - [c75]Saptakatha Adak
Motion-Based Occlusion-Aware Pixel Graph Network for Video Object Segmentation. ICONIP (2) 2019: 516-527 - [c74]Prateep Bhattacharjee, Sukhendu Das:
Directional Attention based Video Frame Prediction using Graph Convolutional Networks. IJCNN 2019: 1-10 - [c73]Saptakatha Adak, Sukhendu Das:
TempSeg-GAN: Segmenting Objects in Videos Adversarially using Temporal Information. VISIGRAPP (4: VISAPP) 2019: 221-232 - 2018
- [j23]Renu Sharma, Sukhendu Das, Padmaja Joshi:
Score-level fusion using generalized extreme value distribution and DSmT, for multi-biometric systems. IET Biom. 7(5): 474-481 (2018) - [j22]Samik Banerjee
MakeUpMirror: mirroring make-ups and verifying faces post make-up. IET Biom. 7(6): 598-605 (2018) - [j21]Samik Banerjee
Mutual variation of information on transfer-CNN for face recognition with degraded probe samples. Neurocomputing 310: 299-315 (2018) - [j20]Samik Banerjee
LR-GAN for degraded Face Recognition. Pattern Recognit. Lett. 116: 246-253 (2018) - [c72]Geethu Miriam Jacob
Panorama from Representative Frames of Unconstrained Videos Using DiffeoMeshes. ACCV (3) 2018: 166-182 - [c71]Prateep Bhattacharjee
Predicting Video Frames Using Feature Based Locally Guided Objectives. ACCV (4) 2018: 679-695 - [c70]Geethu Miriam Jacob
Large Parallax Image Stitching Using an Edge-Preserving Diffeomorphic Warping Process. ACIVS 2018: 521-533 - [c69]Samik Banerjee, Avishek Bhattacharjee, Sukhendu Das:
Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras. BIOSIG 2018: 1-12 - [c68]Prateep Bhattacharjee
Context Graph Based Video Frame Prediction Using Locally Guided Objective. ECCV Workshops (3) 2018: 169-185 - [c67]Avishek Bhattacharjee
PosIX-GAN: Generating Multiple Poses Using GAN for Pose-Invariant Face Recognition. ECCV Workshops (3) 2018: 427-443 - [c66]Geethu Miriam Jacob
GreenWarps: A Two-Stage Warping Model for Stitching Images Using Diffeomorphic Meshes and Green Coordinates. ECCV Workshops (4) 2018: 740-744 - [c65]Avishek Bhattacharjee, Samik Banerjee
SpoofNET: Resolving Facial Makeup based Spoofs. ICVGIP 2018: 24:1-24:9 - [c64]Avishek Bhattacharjee, Samik Banerjee
DP-GAN: Dual Pathway Generative Adversarial Network for Face Recognition in Degraded Scenarios. ICVGIP 2018: 26:1-26:9 - [c63]Saptakatha Adak, Sukhendu Das:
VidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks. ICVGIP 2018: 28:1-28:9 - [c62]Sandeep Narayan Parameswaran, Sukhendu Das:
A Bottom-Up and Top-Down Approach for Image Captioning using Transformer. ICVGIP 2018: 38:1-38:9 - [i3]Geethu Miriam Jacob, Sukhendu Das:
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space. CoRR abs/1808.04551 (2018) - 2017
- [j19]Geethu Miriam Jacob
Moving object segmentation for jittery videos, by clustering of stabilized latent trajectories. Image Vis. Comput. 64: 10-22 (2017) - [c61]Geethu Miriam Jacob, Sukhendu Das:
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space. BMVC 2017 - [c60]Girraj Pahariya, Balaraman Ravindran
Dynamic Class Learning Approach for Smart CBIR. NCVPRIPG 2017: 327-337 - [c59]Prateep Bhattacharjee, Sukhendu Das:
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks. NIPS 2017: 4268-4277 - [c58]Prateep Bhattacharjee
Two-Stream Convolutional Network with Multi-level Feature Fusion for Categorization of Human Action from Videos. PReMI 2017: 549-556 - [c57]Samik Banerjee
Performance of Deep Learning Algorithms vs. Shallow Models, in Extreme Conditions - Some Empirical Studies. PReMI 2017: 565-574 - [e2]Anupam Basu, Sukhendu Das, Patrick Horain, Samit Bhattacharya:
Intelligent Human Computer Interaction - 8th International Conference, IHCI 2016, Pilani, India, December 12-13, 2016, Proceedings. Lecture Notes in Computer Science 10127, Springer 2017, ISBN 978-3-319-52502-0 [contents] - 2016
- [j18]Chiranjoy Chattopadhyay
Supervised framework for automatic recognition and retrieval of interaction: a framework for classification and retrieving videos with similar human interactions. IET Comput. Vis. 10(3): 220-227 (2016) - [j17]Suranjana Samanta, Sukhendu Das:
Minimising disparity in distribution for unsupervised domain adaptation by preserving the local spatial arrangement of data. IET Comput. Vis. 10(5): 443-449 (2016) - [j16]Chiranjoy Chattopadhyay
Use of trajectory and spatiotemporal features for retrieval of videos with a prominent moving foreground object. Signal Image Video Process. 10(2): 319-326 (2016) - [c56]Samik Banerjee
Soft-Margin Learning for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets. CVPR Workshops 2016: 237-242 - [c55]Geethu Miriam Jacob
Video stabilization by procrustes analysis of trajectories. ICVGIP 2016: 47:1-47:8 - [c54]K. S. Lalitha, Sukhendu Das, Arun Menon
Simultaneous Reconstruction of Multiple Hand Shredded Content-Less Pages Using Graph-Based Global Reassembly. ICVGIP Workshops 2016: 75-87 - [c53]Samik Banerjee, Sukhendu Das:
Eigen Domain Transformation for Soft-Margin Multiple Feature-Kernel Learning for Surveillance Face Recognition. ICVGIP Workshops 2016: 180-191 - [c52]Lalitha K. S., Sukhendu Das
Graph-Based Clustering for Apictorial Jigsaw Puzzles of Hand Shredded Content-less Pages. IHCI 2016: 135-147 - [i2]Samik Banerjee
Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario. CoRR abs/1610.00660 (2016) - [i1]Samik Banerjee
Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition. CoRR abs/1610.01374 (2016) - 2015
- [j15]Suranjana Samanta, Sukhendu Das
Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks. IET Image Process. 9(11): 925-930 (2015) - [j14]Chiranjoy Chattopadhyay
Prominent moving object segmentation from moving camera video shots using iterative energy minimization. Signal Image Video Process. 9(8): 1927-1934 (2015) - [c51]Renu Sharma, Sukhendu Das, Padmaja Joshi:
Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution. BMVC 2015: 131.1-131.12 - [c50]Nitin Gupta
Extracting information from a query image, for content based image retrieval. ICAPR 2015: 1-6 - [c49]Tirumarai Selvan, Suranjana Samanta, Sukhendu Das
Domain adaptation using weighted sub-space sampling for object categorization. ICAPR 2015: 1-5 - [c48]Renu Sharma, Sukhendu Das
Rank level fusion in multibiometric systems. NCVPRIPG 2015: 1-4 - [c47]Suranjana Samanta, Samik Banerjee
Unsupervised method of Domain Adaptation on representation of discriminatory regions of the face image for surveillance face datasets. PerMIn 2015: 123-132 - [c46]Tirumarai Selvan, Suranjana Samanta, Sukhendu Das
DI-BOW: Domain Invariant Feature Descriptor Using Bag of Words. PerMIn 2015: 175-182 - [c45]Nitin Gupta
Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval. PerMIn 2015: 201-210 - 2014
- [c44]Suranjana Samanta, Tirumarai Selvan, Sukhendu Das:
Modeling Sequential Domain Shift through Estimation of Optimal Sub-spaces for Categorization. BMVC 2014 - [c43]Renu Sharma, Sukhendu Das
Dictionary based framework for face recognition, designed mutually for single training sample (STS) and degraded set (DS). IJCB 2014: 1-6 - [c42]Suranjana Samanta, Sukhendu Das
Unsupervised domain adaptation using manifold alignment for object and event categorization. ICIP 2014: 2739-2743 - [c41]Nitin Gupta
Hierarchy of visual features for object recognition. ICIP 2014: 5901-5905 - [c40]Prateek Shrivastava, Sukhendu Das
Particle Coding for Meshfree Cutting of Deformable Assets. ICVGIP 2014: 6:1-6:8 - [c39]Samik Banerjee
Face Recognition in Surveillance Conditions with Bag-of-words, using Unsupervised Domain Adaptation. ICVGIP 2014: 50:1-50:8 - [c38]Sudeshna Roy, Sukhendu Das
Multi-criteria Energy Minimization with Boundedness, Edge-density and Rarity, for Object Saliency in Natural Images. ICVGIP 2014: 55:1-55:8 - [c37]Nitin Gupta
Revealing What to Extract from Where, for Object-Centric Content Based Image Retrieval (CBIR). ICVGIP 2014: 57:1-57:8 - [c36]Prateek Shrivastava, Sukhendu Das:
GPU Based Particle Coding Scheme for Virtual Cutting of Meshfree Particle Systems. ISVC (1) 2014: 550-559 - [c35]Prateek Shrivastava, Sukhendu Das
Physics based virtual cutting using j-integral method for gaming applications. MIG 2014: 185 - [c34]Sudeshna Roy, Sukhendu Das:
Saliency Detection in Images using Graph-based Rarity, Spatial Compactness and Background Prior. VISAPP (1) 2014: 523-530 - 2013
- [c33]Suranjana Samanta, Sukhendu Das
Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization. CAIP (1) 2013: 245-253 - [c32]Chiranjoy Chattopadhyay
STAR: A Content Based Video Retrieval system for moving camera video shots. NCVPRIPG 2013: 1-4 - [c31]Sudeshna Roy, Sukhendu Das
Spatial variance of color and boundary statistics for salient object detection. NCVPRIPG 2013: 1-4 - [c30]Suranjana Samanta, Tirumarai Selvan, Sukhendu Das
Cross-domain clustering performed by transfer of knowledge across domains. NCVPRIPG 2013: 1-4 - [c29]Prateek Shrivastava, Sukhendu Das
Fast area of contact computation for collision detection of a deformable object using FEM. NCVPRIPG 2013: 1-4 - [c28]Ankit Shrivastava, Prateek Shrivastava, Sukhendu Das
Stable biped locomotion using improved Proportional Derivative Controller. NCVPRIPG 2013: 1-4 - [c27]Suranjana Samanta, Sukhendu Das
Inter-domain Cluster Mapping and GMCV Based Transformation for Domain Adaptation. PReMI 2013: 74-81 - [e1]Gaurav Harit, Sukhendu Das:
Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2013, Jodhpur, India, December 18-21, 2013. IEEE 2013, ISBN 978-1-4799-1588-0 [contents] - 2012
- [c26]Chiranjoy Chattopadhyay
Enhancing the MST-CSS Representation Using Robust Geometric Features, for Efficient Content Based Video Retrieval (CBVR). ISM 2012: 352-355 - [c25]Chiranjoy Chattopadhyay
A Motion-Sketch Based Video Retrieval Using MST-CSS Representation. ISM 2012: 376-377 - [c24]Gyanesh Dwivedi, Sukhendu Das
SLAR (Simultaneous Localization And Recognition) Framework for Smart CBIR. PerMIn 2012: 277-287 - 2011
- [j13]Sukhendu Das
Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images. IEEE Trans. Geosci. Remote. Sens. 49(10): 3906-3931 (2011) - [c23]Shiva Rudrani, Sukhendu Das
Face Recognition on Low Quality Surveillance Images, by Compensating Degradation. ICIAR (2) 2011: 212-221 - [c22]Himanshu Prakash Jain, Anbumani Subramanian
Real-Time Upper-Body Human Pose Estimation Using a Depth Camera. MIRAGE 2011: 227-238 - 2010
- [j12]Sunando Sengupta, Sukhendu Das
Design of an improved framework for stratified 3D reconstruction from a pair of images, with reduced ambiguity. Int. J. Comput. Math. 87(14): 3111-3137 (2010) - [j11]Thomas Greiner, Shivani G. Rao, Sukhendu Das
Estimation of orientation of a textured planar surface using projective equations and separable analysis with M-channel wavelet decomposition. Pattern Recognit. 43(1): 230-243 (2010) - [j10]A. Dyana, Sukhendu Das
MST-CSS (Multi-Spectro-Temporal Curvature Scale Space), a Novel Spatio-Temporal Representation for Content-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 20(8): 1080-1094 (2010)
2000 – 2009
- 2009
- [j9]A. Dyana, Sukhendu Das
Trajectory representation using Gabor features for motion-based video retrieval. Pattern Recognit. Lett. 30(10): 877-892 (2009) - [c21]A. Dyana, M. P. Subramanian, Sukhendu Das
Combining Features for Shape and Motion Trajectory of Video Objects for Efficient Content Based Video Retrieval. ICAPR 2009: 113-116 - [c20]T. T. Mirnalinee
Integration of Region and Edge-based information for Efficient Road Extraction from High Resolution Satellite Imagery. ICAPR 2009: 373-376 - [c19]Vinod Pathangay, Sukhendu Das
Eigen-domain Relighting of Face Images for Illumination-invariant Face Verification. ICAPR 2009: 437-440 - [c18]Suranjana Samanta, Sukhendu Das
Unsupervised texture segmentation using feature selection and fusion. ICIP 2009: 2197-2200 - [c17]Suranjana Samanta, Sukhendu Das
A Fast Supervised Method of Feature Ranking and Selection for Pattern Classification. PReMI 2009: 80-85 - [p1]Surya Prakash, R. Abhilash, Sukhendu Das:
Snakecut: an Integrated Approach Based on Active Contour and GrabCut for Automatic Foreground Object Segmentation. Progress in Computer Vision and Image Analysis 2009: 535-556 - 2008
- [j8]Lalit Gupta, Utthara Gosa Mangai, Sukhendu Das
Integrating region and edge information for texture segmentation using a modified constraint satisfaction neural network. Image Vis. Comput. 26(8): 1106-1117 (2008) - [j7]Arpita Patra, Sukhendu Das
Enhancing decision combination of face and fingerprint by exploitation of individual classifier space: An approach to multi-modal biometry. Pattern Recognit. 41(7): 2298-2308 (2008) - [c16]R. Abhilash, Sukhendu Das
Video cut and paste for 3D composition. Bangalore Compute Conf. 2008: 9 - [c15]Vinod Pathangay, Sukhendu Das
Symmetry-based face pose estimation from a single uncalibrated view. FG 2008: 1-8 - 2007
- [j6]Lalit Gupta, Vinod Pathangay, Arpita Patra, A. Dyana, Sukhendu Das
Indoor versus Outdoor Scene Classification Using Probabilistic Neural Network. EURASIP J. Adv. Signal Process. 2007 (2007) - [j5]A. Pavan Kumar, V. Kamakoti, Sukhendu Das
System-on-programmable-chip implementation for on-line face recognition. Pattern Recognit. Lett. 28(3): 342-349 (2007) - [c14]Variganti Saritha, Mary Joseph Minu, Sukhendu Das
Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis. ICCTA 2007: 726-730 - [c13]Surya Prakash
Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT. PReMI 2007: 111-118 - [c12]A. Dyana, Sukhendu Das:
Spatio-temporal Descriptor Using 3D Curvature Scale Space. PReMI 2007: 632-640 - 2006
- [j4]Thomas Greiner, Sukhendu Das
Bestimmung der Objektform durch Bildanalyse der Oberflächentextur (Shape from Texture). Autom. 54(10): 475-485 (2006) - [c11]Manisha Kalra, Sukhendu Das
Generic Object Recognition Using a Combination of ICA and Shape Cues. AVSS 2006: 14 - [c10]Lalit Gupta, Sukhendu Das
Texture Edge Detection using Multi-resolution Features and SOM. ICPR (2) 2006: 199-202 - [c9]Aakanksha Gagrani, Lalit Gupta, Balaraman Ravindran, Sukhendu Das, Pinaki Roychowdhury, V. K. Panchal:
A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy. ICVGIP 2006: 140-151 - [c8]Vinod Pathangay, Sukhendu Das:
Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition. ICVGIP 2006: 585-596 - [c7]Manisha Kalra, Deepti Parachuri, R. Abhilash, Sukhendu Das:
Pose Invariant Generic Object Recognition with Orthogonal Axis Manifolds in Linear Subspace. ICVGIP 2006: 619-630 - 2004
- [c6]A. Pavan Kumar, Sukhendu Das, V. Kamakoti:
Face Recognition Using Weighted Modular Principle Component Analysis. ICONIP 2004: 362-367 - [c5]Shivani G. Rao, Manika Puri, Sukhendu Das:
Unsupervised Segmentation of Texture Images Using a Combination of Gabor and Wavelet Features. ICVGIP 2004: 370-375 - [c4]A. Pavan Kumar, V. Kamakoti, Sukhendu Das:
An Architecture for Real Time Face Recognition Using WMPCA. ICVGIP 2004: 644-649 - 2003
- [j3]Raman Balasubramanian, Sukhendu Das
Simulation Studies for the Performance Analysis of the Reconstruction of a Line in 3-D from Two Arbitrary Perspective Views Using Two Plane Intersection Method. Int. J. Comput. Math. 80(5): 559-571 (2003) - 2002
- [j2]Raman Balasubramanian, Sukhendu Das
Quantization Error in Stereo Imaging systems. Int. J. Comput. Math. 79(6): 671-691 (2002) - [c3]S. Eamesh, S. Palanivel, Sukhendu Das, Bayya Yegnanarayana:
Eigenedginess vs. eigenhill, eigenface and eigenedge. EUSIPCO 2002: 1-4 - [c2]Thomas Greiner, Sukhendu Das:
Recovering Orientation of a Textured Planar Surface Using Wavelet Transform. ICVGIP 2002 - [c1]Krishnan Swaminathan, Sukhendu Das
Simulation studies for the reconstruction of a straight line in 3D from two arbitrary perspective views using epipolar line method. Image Processing: Algorithms and Systems 2002: 418-428 - 2001
- [j1]Raman Balasubramanian, Sukhendu Das, Krishnan Swaminathan:
Error analysis in reconstruction of a line in 3-D from two arbitrary perspective views. Int. J. Comput. Math. 78(2): 191-212 (2001)
Coauthor Index
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