{"title":"Second-order motion perception: space/time separable mechanisms","authors":"C. Chubb, G. Sperling","doi":"10.1109/WVM.1989.47102","DOIUrl":"https://doi.org/10.1109/WVM.1989.47102","url":null,"abstract":"Microbalanced stimuli are defined as dynamic displays which do not stimulate motion mechanisms that apply standard (Fourier-energy or autocorrelation) motion analysis directly to the visual signal. Because they bypass such first-order mechanisms, microbalanced stimuli are uniquely useful for studying second-order motion perception (motion perception served by mechanisms that require a grossly nonlinear stimulus transformation prior to standard motion analysis). Some stimuli are microbalanced under all pointwise stimulus transformations and therefore are immune to early visual nonlinearities. They are used to disable motion information derived from spatial (temporal) filtering to isolate the temporal (spatial) properties of space/time separable second-order motion mechanisms. The motion of all of the microbalanced stimuli considered can be extracted by band-selective spatial filtering and biphasic temporal filtering, nonzero in DC, followed by a rectifying nonlinearity and standard motion analysis.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"75 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of differential and matching methods for optical flow","authors":"J. Little, A. Verri","doi":"10.1109/WVM.1989.47107","DOIUrl":"https://doi.org/10.1109/WVM.1989.47107","url":null,"abstract":"A number of algorithms for optical flow are studied on both a theoretical and an experimental ground. Differential and matching methods are examined. Both types of optical-flow algorithms can use either local or global constraints, such as spatial smoothness, in computing the flow. Local matching and differential techniques and global differential techniques are examined. The traditional algorithms for optical flow utilize weak assumptions on the local variation of the flow, and on the variation of image brightness. Strengthening these assumptions improves the flow computation. The computational consequence of this is a necessity for larger spatial and temporal support. Using larger support is valid when constraints on the local shape of the flow are satisfied. Experiments show the behavior of these optical-flow methods on velocity fields which do not obey the assumptions. Implementation of these methods highlights the importance of numerical differentiation.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127060233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recovering 3-D translational motion and establishing stereo correspondence from binocular image flows","authors":"L. Li, J. Duncan","doi":"10.1109/WVM.1989.47126","DOIUrl":"https://doi.org/10.1109/WVM.1989.47126","url":null,"abstract":"Stereo imagery with translational motion is analyzed. It is shown that the relative translational velocity between the camera platform and the objects can be computed by solving linear equations based on the measured flow fields of the left and right cameras, without point-to-point correspondence. In addition, stereo matching procedures based on the estimate translational velocity and the flow fields are presented. Preliminary results with synthetic data show that these techniques are quite robust in the presence of noise.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a theory of apparent visual motion","authors":"R. Jasinschi","doi":"10.1109/WVM.1989.47103","DOIUrl":"https://doi.org/10.1109/WVM.1989.47103","url":null,"abstract":"The existence of two separate mechanisms for the processing of apparent motion, the short- and long-range processes, as proposed by O. Braddick (1974), has been analyzed through many different psychophysical experiments. In particular, the fact that for the short-range process there exists an upper bound for the spatial displacement and temporal interstimulus interval between successive stimulus presentations was confirmed by various experiments. Here, the author attempts to obtain a more formal understanding of these issues by analyzing the phenomenon of apparent motion from the point of view of a reconstruction problem. This makes it possible to use the sampling theorem to analyze the problem of temporal (spatial) reconstruction of uniformly translating patterns. In the case where the velocity field can only be extracted with uncertainty, it can be shown that there exists a maximum temporal (spatial) sampling interval, such that aliasing does not occur. It is argued that, in the case of short-range process, due to its temporal (spatial) reconstruction ability, a similar effect could intervene in the limitation of its activity to a small spatiotemporal scale.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127690039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Moving towards the horizon of a planar curve","authors":"J. Arnspang","doi":"10.1109/WVM.1989.47094","DOIUrl":"https://doi.org/10.1109/WVM.1989.47094","url":null,"abstract":"The use of the horizon of a planar and convex curve has been discussed. The spatial orientation of the curve plane and of any curve tangent may be determined unambiguously from image coordinates in one image. Curve points may be matched geometrically from two images of an image sequence, produced by translation or acceleration, which does not produce rotation. The focus of expansion during translation may be constructed geometrically from two images. Spatial position and velocity of a curve point may be determined unscaled, if the spatial acceleration is known and the optic flow and optic acceleration are nonzero and nonaligned. Any of these determination schemes are unambiguous and involve very few calculations. Algorithms have been suggested for the determination of the horizon from an image sequence, where the horizon is not visible.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computing optical flow","authors":"D. Lee, A. Papageorgiou, G. Wasilkowski","doi":"10.1109/WVM.1989.47099","DOIUrl":"https://doi.org/10.1109/WVM.1989.47099","url":null,"abstract":"The authors examine some computational aspects of determining optical flow. Both area- and curve-based approaches are discussed. Necessary and sufficient conditions are investigated for the existence and uniqueness of the smoothing spline from regularization schema prevalent. The authors discuss a variety of boundary constraints: free, Neuman, Dirichlet, and two-point boundary conditions. It is shown that both free and Neuman boundary problems are ill-conditioned, and are not appropriate for optical flow computation. This partly explains why practitioners have attested to the difficult of computing flow velocities using such regularization scheme. Therefore, it is necessary to use either Dirichlet boundary conditions or design different regularization schema. As a common practice in early vision, a continuous problem is formulated, and a discrete version of the problem is solved instead. The authors estimate the discretization errors, and compute the resulting discrete smoothing splines. They study efficient algorithms for solving the system of linear equations for the discrete smoothing splines. Among a variety of iterative algorithms, they propose the Chebyshev method for the computation of the area-based optical flow.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130330613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration of a mobile robot with application to visual navigation","authors":"Z. Zhang, O. Faugeras","doi":"10.1109/WVM.1989.47123","DOIUrl":"https://doi.org/10.1109/WVM.1989.47123","url":null,"abstract":"The authors address the calibration problem between the stereo coordinate system and the odometric system of the INRIA mobile robot. A well-known equation is used to recover the rotation axis of the mobil robot in the stereo system, using information of motion from stereo. The calibration can be done with some simple maneuvers (pure rotation and pure translation). A motion-estimation algorithm from stereo is used to determine the displacement in the stereo coordinate system. With the calibration results, it is possible to transform the displacement that the robot should perform in the stereo reference to achieve its goal into the robot's internal commands. As a sample application, a complete visual navigation loop is demonstrated.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124170011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Subject-object discrimination in 4D dynamic scene interpretation for machine vision","authors":"E.D. Dickmans","doi":"10.1109/WVM.1989.47122","DOIUrl":"https://doi.org/10.1109/WVM.1989.47122","url":null,"abstract":"A concept for subject-object discrimination has been developed, based on the integral spatiotemporal world model for machine vision. The control determination by feedback of estimated state variables leads directly to behavioral competences for classes of situations. Subjects are defined to have controls at their disposal, which allow them to freely initiate motion activities without depending on changes in the environment. The proposed concept pertains to the classification of physical objects in the limited domain of road traffic. Reference is made to experimental data on VAMORS (vehicle for autonomous mobility through computer vision).<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125935687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regularization of discontinuous flow fields","authors":"D. Shulman, J. Hervé","doi":"10.1109/WVM.1989.47097","DOIUrl":"https://doi.org/10.1109/WVM.1989.47097","url":null,"abstract":"Inverse problems in low-level vision tend to be ill-posed and smoothness assumptions (regularization) need to be made to obtain unique solutions that vary continuously as a function of the data. But the solution must not smooth over discontinuities in the image, and allowance must be made for the fact that the probability distributions of the smoothness measures are unknown. The authors apply the theory of robust statistics (M-statistics) to obtain a convex regularization that is also maximally robust against misspecification of the probability distribution of large jumps in the unknown. This theory is applied to the optical flow constraint, which is known to be noisy and inaccurate. The authors present some preliminary results showing that convex regularization theory seems to accurately preserve depth boundary information.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124262869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. M. Bennett, Donald D. Hoffman, J. Nicola, C. Prakash
{"title":"Inferring structure from motion: a homotopy algorithm","authors":"B. M. Bennett, Donald D. Hoffman, J. Nicola, C. Prakash","doi":"10.1109/WVM.1989.47115","DOIUrl":"https://doi.org/10.1109/WVM.1989.47115","url":null,"abstract":"Theoretical investigations of the inference of three-dimensional structure from image motion often result in systems of coupled nonlinear equations which must be solved to infer the third dimension. If closed-form solutions cannot be obtained, then various search procedures, such as simulated annealing, are often used. Here, the authors discuss a relatively novel approach to solving coupled nonlinear systems of equations, an approach based on the so-called homotopy principle. This approach is discussed in the context of developing an algorithm for inferring structure from motion using an assumption of rigid fixed-axis motion. This approach is also discussed in the more general context of observer theory, a mathematical framework for the field of perception.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}