The seeing hand is the hand that restores a person's peripheral vision;moving it eliminates the "hemianopia" seen in lesions affecting the minor hemisphere. This article documents the role of directional...
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ISBN:
(纸本)9781601320438
The seeing hand is the hand that restores a person's peripheral vision;moving it eliminates the "hemianopia" seen in lesions affecting the minor hemisphere. This article documents the role of directionality of callosal traffic that underpin this well-documented but as yet unexplained phenomenon. By indexing cases in which macular vision was spared or damaged in lesions affecting the minor or major hemisphere, respectively, it is concluded that the role of the minor hemisphere in vision is to widen me expanse of visual experience rather man participating in seeing per se. As to somatosensory data arising from the nondominant side of the body, evidence indicates that awareness of dimensionality in space awaits the arrival of the signals from the minor to the major hemisphere via the callosum. This explains the fact that neglect is limited to lesions affecting the minor hemisphere. Evidence also indicates that the improvement of neglect upon moving the seeing hand requires an extant callosum (anteriorly), so as to allow the entry of excitatory commands from the major hemisphere for moving the nondominant side awaken the injured (dormant) minor hemisphere;thus representing the contralateral hemispace ignored prior to these movements. The seeing hand is therefore farther from the major hemisphere by a callosum-width (i.e. it is the hand with the longer reaction time). Using data from inspection time, lexical decision and reaction time studies, it is shown that the relationship of the seeing hand to behavioral laterality is statistical.
作者：
Serre, ThomasOliva, AudePoggio, TomasoMIT
Ctr Biol & Computat Learning Cambridge MA 02139 USA MIT
McGovern Inst Brain Res Cambridge MA 02139 USA MIT
Dept Brain & Cognit Sci Cambridge MA 02139 USA
Primates are remarkably good at recognizing objects. The level of performance of their visual system and its robustness to image degradations still surpasses the best computervision systems despite decades of enginee...
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Primates are remarkably good at recognizing objects. The level of performance of their visual system and its robustness to image degradations still surpasses the best computervision systems despite decades of engineering effort. In particular, the high accuracy of primates in ultra rapid object categorization and rapid serial visual presentation tasks is remarkable. Given the number of processing stages involved and typical neural latencies, such rapid visual processing is likely to be mostly feedforward. Here we show that a specific implementation of a class of feedforward theories of object recognition (that extend the Hubel and Wiesel simple-to-complex cell hierarchy and account for many anatomical and physiological constraints) can predict the level and the pattern of performance achieved by humans on a rapid masked animal vs. non-animal categorization task.
Segmentation of regions of interest in an image has important applications in medical image analysis, particularly in computer aided diagnosis. Segmentation can enable further quantitative analysis of anatomical struc...
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Segmentation of regions of interest in an image has important applications in medical image analysis, particularly in computer aided diagnosis. Segmentation can enable further quantitative analysis of anatomical structures. We present efficient image segmentation schemes based on the solution of distinct partial differential equations (PDEs). For each known image region, a PDE is solved, the solution of which locally represents the weighted distance from a region known to have a certain segmentation label. To achieve this goal, we propose the use of two separate PDEs, the Eikonal equation and a diffusion equation. In each method, the segmentation labels are obtained by a competition criterion between the solutions to the PDEs corresponding to each region. We discuss how each method applies the concept of information propagation from the labelled image regions to the unknown image regions. Experimental results are presented on magnetic resonance, computed tomography, and ultrasound images and for both two-region and multi-region segmentation problems. These results demonstrate the high level of efficiency as well as the accuracy of the proposed methods.
In this paper we present a user independent real-time capable automatic method for recognition of facial expressions related to basic emotions from stereo image sequences. The method automatically detects faces in unc...
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ISBN:
(纸本)9783540744689
In this paper we present a user independent real-time capable automatic method for recognition of facial expressions related to basic emotions from stereo image sequences. The method automatically detects faces in unconstraint pose based on depth and color information. In order to overcome difficulties caused by increasing change in pose, lighting transitions, or complicated background, we introduce a face normalization algorithm based on an Iterative Closest Point algorithm. In normalized face images we defined a set of physiologically motivated face regions related to a subset of facial muscles which are apt to automatically detect the six well-known basis emotions. Visual facial expression analysis takes place by an optical flow based feature extraction and a nearest neighbor classification, which uses a distance measure, i.e. the current flow vector pattern is matched against empirically determined ground truth data.
Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In this paper we propose a 2D Iterated Clos...
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ISBN:
(纸本)9783540728481
Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In this paper we propose a 2D Iterated Closest Point (ICP) registration method, based on the distance transform, combined with a fine-tuning-registration step using directly the image data. Experiments with real data show that ICP is robust to 3D reconstruction differences due to motion and the line tuning step minimizes the effect of the uncertainty in the 3D reconstruct ions.
In the statistical patternrecognition field the number of samples to train a classifier is usually insufficient. Nevertheless, it has been shown that some learning domains can be divided in a set of related tasks, th...
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The proceedings contain 87 papers. The topics discussed include: recognition of facial movements and hand gestures using surface electromyogram(sEMG) for HCI based applications;visual speech recognition and utterance ...
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ISBN:
(纸本)0769530672
The proceedings contain 87 papers. The topics discussed include: recognition of facial movements and hand gestures using surface electromyogram(sEMG) for HCI based applications;visual speech recognition and utterance segmentation based on mouth movement;limitations and applications of ICA in facial sEMG and hand gesture sEMG for human computer interaction;interactive reconstruction of archaeological fragments in a collaborative environment;subtle hand gesture identification for HCI using temporal decorrelation source separation BSS of surface EMG;interactive visual guide system for learning manual work;robust histogram-based object tracking in image sequences;enhancing video surveillance with audio events;region based maximum likelihood estimation for small geospatial object extraction;simplex optimization initialized by gaussian mixture for active appearance models;and the tower of knowledge scheme for learning in computervision.
Shape descriptors play an important role in many document analysis application. In this paper we review some of the shape descriptors proposed in the last years from a new point of view. We propose the definitions of ...
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The proceedings contain 63 papers. The topics discussed include: extrinsic recalibration in camera networks;screen camera calibration using a spherical mirror;a simple operator for very precise estimation of ellipses;...
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ISBN:
(纸本)0769527868
The proceedings contain 63 papers. The topics discussed include: extrinsic recalibration in camera networks;screen camera calibration using a spherical mirror;a simple operator for very precise estimation of ellipses;training database adequacy analysis for learning-based super-resolution;extracting salient objects from operator-framed images;learning saccadic gaze control via motion prediction;efficient camera motion and 3D recovery using an inertial sensor;can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes;local graph matching for object category recognition;efficient registration of 3D SPHARM surfaces;computing view-normalized body parts trajectories;automated detection of mitosis in embryonic tissues;computer assisted detection of polycystic ovary morphology in ultrasound images;automatic detection and clustering of actor faces based on spectral clustering techniques;and petri net-based cooperation in multi-agent systems.
This paper presents a new technique based on perceptual information for the robust segmentation of noisy 3D scenes acquired by stereo vision. A low-pass geometric filter is first applied to the given cloud of 3D point...
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ISBN:
(纸本)9783540729020
This paper presents a new technique based on perceptual information for the robust segmentation of noisy 3D scenes acquired by stereo vision. A low-pass geometric filter is first applied to the given cloud of 3D points to remove noise. The tensor voting algorithm is then applied in order to extract perceptual geometric information. Finally, a graph-based segmenter is utilized for extracting the different geometric structures present in the scene through a region-growing procedure that is applied hierarchically. The proposed algorithm is evaluated on real 3D scenes acquired with a trinocular camera.
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