Computer Vision, Accv'98: Third Asian Conference on Computer Vision, Hong Kong, China, January 8-10, 1998 : Proceedings

On typical implementations of Hough transform for improving its performances. - Hierarchical segmentation and representation with dynamic link architecture neural network. - Perceptually consistent segmentation of texture using multiple channel filter. - Optimal edge detection under difficult imaging conditions. - Restoring image quality through structure preserving de-noising. - Feature saliency from noise variations in invariants. - Multiscale image representation and edge detection. - Rotation invariant texture features from Gabor filters. - Euclidean invariants of linear scale-spaces. - Segmenting objects at multiple scales: A robust approach. - Multi-grid edge models for magnifying digital images. - Scale and rotation invariant recognition method using higher-order local autocorrelation features of log-polar image. - Script and language identification from document images. - Document categorization for document image understanding. - Recognition of various bar-graph structures based on layout model. - Word-class bigram statistics language model for a hand-written chinese character recognizer. - Log classification by single X-ray scans using texture features from growth rings. - Precise and fast form identification method by using adaptive base lines for matching. - Combinatorial coarse classification method for OLCCR. - Detecting characters in grey-scale scene images. - Conic based image transfer for 2-D Objects: A linear algorithm. - Minimal conditions on intrinsic parameters for Euclidean reconstruction. - Surface based hypothesis verification in intensity images using geometric and appearance data. - Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. - Object recognition by matching symbolic edge graphs. - Interpretation of complex scenes using Bayesian networks. - Recognition of urban scene using silhouette of buildings and city map database. - A cooperative inference mechanism for extracting road information automatically. - Model-based active object recognition using MRF matching and sensor planning. - Improved image classification using morphing. - Reconstruction of non-manifold objects from two orthographic views. - 3D object recognition using segment-based stereo vision. - The state of color vision research. - Color vision and color media processing research in Asia. - Recent advances in detection and description of buildings from multiple aerial images. - Visual surveillance of human activity. - Bayesian paradigm for recognition of objects -On typical implementations of Hough transform for improving its performances. - Hierarchical segmentation and representation with dynamic link architecture neural network. - Perceptually consistent segmentation of texture using multiple channel filter. - Optimal edge detection under difficult imaging conditions. - Restoring image quality through structure preserving de-noising. - Feature saliency from noise variations in invariants. - Multiscale image representation and edge detection. - Rotation invariant texture features from Gabor filters. - Euclidean invariants of linear scale-spaces. - Segmenting objects at multiple scales: A robust approach. - Multi-grid edge models for magnifying digital images. - Scale and rotation invariant recognition method using higher-order local autocorrelation features of log-polar image. - Script and language identification from document images. - Document categorization for document image understanding. - Recognition of various bar-graph structures based on layout model. - Word-class bigram statistics language model for a hand-written chinese character recognizer. - Log classification by single X-ray scans using texture features from growth rings. - Precise and fast form identification method by using adaptive base lines for matching. - Combinatorial coarse classification method for OLCCR. - Detecting characters in grey-scale scene images. - Conic based image transfer for 2-D Objects: A linear algorithm. - Minimal conditions on intrinsic parameters for Euclidean reconstruction. - Surface based hypothesis verification in intensity images using geometric and appearance data. - Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. - Object recognition by matching symbolic edge graphs. - Interpretation of complex scenes using Bayesian networks. - Recognition of urban scene using silhouette of buildings and city map database. - A cooperative inference mechanism for extracting road information automatically. - Model-based active object recognition using MRF matching and sensor planning. - Improved image classification using morphing. - Reconstruction of non-manifold objects from two orthographic views. - 3D object recognition using segment-based stereo vision. - The state of color vision research. - Color vision and color media processing research in Asia. - Recent advances in detection and description of buildings from multiple aerial images. - Visual surveillance of human activity. - Bayesian paradigm for recognition of objects - Innovative applications. - Toward motion picture grammars. - Hierarchical texture segmentation. - Range image segmentation: Adaptive grouping of edges into regions. - Optimising the complete image feature extraction chain. - A unified framework for salient curves, regions, and junctions inference. - Learning multiscale image models of 2D object classes. - 3D model centered framework for CV and VR. - Image-based geometrically-correct photorealistic scene/object modeling (IBPhM): A review. - Measuring object surface shape and reflectance properties. - Robust image composition algorithms for augmented reality. - Context-based recognition of manipulative hand gestures for human computer interaction. - An algorithm for recursive structure and motion recovery under affine projection. - Relative affine depth: Structure from motion by an uncalibrated camera. - The eigenspace method for rigid motion recovery from less than eight point correspondences. - 3D shape and motion analysis from image blur and smear: A unified approach. - 3D line's extraction from 2D Spatio-Temporal Image created by sine slit. - Toward non-intrusive motion capture. - Appearance based visual learning and object recognition with illumination invariance. - Evidence-based scene interpretation considering subjective certainty of recognition. - Robust hypothesis verification for model based object recognition using Gaussian error model. - Shape modeling from multiple view images using GAs. - 3-D reconstruction of multipart self-occluding objects. - On analysis of cloth drape range data. - VR models from epipolar images: An approach to minimize errors in synthesized images. - Shape and pose parameter estimation of 3D multi-part objects. - Generating 3D models of objects using multiple visual cues in image sequences. - Strategical tracking of polyhedral objects by reactive change of projection pattern - Reactive Range Finder -. - Autonomous vision-guided robot manipulation control. - A new adaptive approach on rapid obstacle detection in range image. - Recognition of shape models for general roads. - Visual detection of obstacles assuming a locally planar ground. - Potential-based modeling of 2D regions using non-uniform source distributions. - A linear algorithm for motion from three weak perspective images using Euler angles. - On Learning spatio-temporal relational structures in two different domains. - An efficient iterative pose estimation algorithm. - A new multistage approach to motion and structure estimation by gradually enforcing geometric constraints. - Tracking a person with pre-recorded image database and a pan, tilt, and zoom camera. - Recovery of motion and structure from optical flow under perspective projection by solving linear simultaneous equations. - Vector coherence mapping: A parallelizable approach to image flow computation. - Robust motion segmentation using rank ordering estimators. - Optical flow in the scale space. - Motion detection in temporal clutter. - A novel fast three-step search algorithm for block-matching motion estimation. - Moving vehicle detection and tracking in image sequences. - Gesture recognition from image motion based on subspace method and HMM. - Identifying faces under varying pose using a single example view. - Multiple camera based human motion estimation. - An autonomous facial caricaturing based on a model of visual illusion - Experimental modeling of visual illusion -. - 3D estimation of facial muscle parameter from the 2D marker movement using neural network. - Appearance-based face recognition under large head rotations in depth. - Skin-color modeling and adaptation. - Human information retrieval by face extraction and recognition on TV news images using subspace method. - Converting facial expressions using recognition-based analysis of image Sequences. - Muscle-based feature models for analyzing facial expressions. - A morphological method for moving object segmentation and posture recognition. - Detection of glasses in facial images. - Non-monotonic continuous dynamic programming for spotting recognition of hesitated gestures from time-varying images. - Face recognition using a face-only database: A new approach.