Ronen Basri and Ehud Rivlin. Localization and Homing Using Combinations of Model Views. Artificial Intelligence, 78(1--2):327--354, October 1995. Home/Search Document Details and Download
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Robust Vision-based Localization for Mobile Robots Using .. - Wolf, Burgard, Burkhardt (2002) (11 citations) (Correct)
....are deployed in populated environments, it makes sense to base the perceptional skills used for localization on vision like humans do. Over the past years, several vision based localization systems have been developed. They mainly differ in the features they use to match images. For example, [1] extract lines and edges from images and use this information to assign a geometric model to every reference image. Then they determine a rough estimate of the robots position by applying geometric transformations to fit the data extracted from the most recent image to the models assigned to the ....
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78(1-2), 1995.
Learning View Graphs for Robot Navigation - Franz, Schölkopf, Georg.. (1997) (25 citations) (Correct)
....The change of object azimuth after displacement has been used by several groups for homing tasks. Hong et al. 1991) identified and matched image features in panoramic images with constant orientation. They used this scheme to successfully guide a mobile robot along a corridor. The scheme of Basri and Rivlin (1995) linearly interpolates between image features in model views and infers home direction from the interpolation coefficients, but works only from a fixed starting position. Wittmann (1995) calculated the flow field using a correlation scheme on a resolution pyramid. In Rofer s approach (1995) a ....
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78:327 -- 354, 1995.
Robot Localization using Uncalibrated Camera Invariants - Werman, Banerjee, Dutta, Qiu (1999) (4 citations) (Correct)
....is structured in such a way that vertical lines can be easily extracted as landmarks. This assumption is problematic in two ways. First, it places a restriction on the kinds of environments that can be explored, and second, it places a restriction on the pose of the camera. Basri and Rivlin [2] have also exploited the geometric behavior of landmarks in selected model images to provide navigation information. Exploiting an assumption of global invertibility of the imaging function and it being an a ne projection, Nayar [8] has shown that subspace methods can provide accurate positional ....
R. Basri and E. Rivlin, \Localization and homing using combinations of model views", Articial Intelligence, vol. 78, no. 1-2, pp. 327-354, October 1995.
Matching By Local Invariants - Schmid, Mohr (1995) (9 citations) (Correct)
....for g are translations. In case of a planar patch, it is well known that g is a homography, i.e. a linear function in homogeneous coordinates. If the change in camera position is not too large, and if the patch under consideration is small enough, then g is close to an affine function [Ull 91, Bas 94] If we consider the images of a ground plane taken by an airplane flying horizontally, and with images taken approximatively from the same location, then g is very close to a similarity; with the additional condition of constant altitude, g is close to a rigid motion; moreover if the airplane ....
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Technical report cs94-12, Weizmann Institut of Sciene, June 1994.
Mobile Robot Localization from Learned Landmarks - Sim, Dudek (13 citations) (Correct)
....is structured in such a way that vertical lines can be easily extracted as landmarks. This assumption is problematic in two ways. First, it places a restriction on the kinds of environments that can be explored, and second, it places a restriction on the pose of the camera. Basri and Rivlin [13] have also exploited the geometric behavior of landmarks in selected model images to provide navigation information. Exploiting an assumption of global invertibility of the imaging function, Nayar has shown that subspace methods can provide accurate positional feedback in sufficiently constrained ....
R. Basri and E. Rivlin, "Localization and homing using combinations of model views", Artificial Intelligence, vol. 78, no. 1-2, pp. 327--354, October 1995.
Visual Homing: Surfing on the Epipoles - Basri, Rivlin, Shimshoni (1998) (29 citations) Self-citation (Basri) (Correct)
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R. Basri and E. Rivlin, Localization and homing using combinations of model views. Artificial Intelligence, 78: 327#354, 1995.
Image-Based Robot Navigation Under the Perspective Model - Basri, Rivlin, Shimshoni Self-citation (Basri Rivlin) (Correct)
....of the robot is predetermined, and a pre storage of the entire path is needed. This is particularly problematic if the starting position of the robot may vary. On line methods (e.g [3] exist, but are commonly limited to the 2 D plane, or need the storage of a 3 D model of the environment (e. g [2, 4]) Also of relevance is work on image based visual servoing (see reviews in [7, 6] Below we present a method for visual navigation under the perspective imaging model. In our method the robot is instructed to reach a desired pose specified by a single image taken from that pose. The method then ....
R. Basri and E. Rivlin, Localization and homing using combinations of model views. AI, 78: 327--354, 1995.
for Vision-Based Navigation - Pablo Sala For (Correct)
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Ronen Basri and Ehud Rivlin. Localization and Homing Using Combinations of Model Views. Artificial Intelligence, 78(1--2):327--354, October 1995.
Landmark Selection for Vision-Based Navigation - Pablo Sala Robert (Correct)
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Ronen Basri and Ehud Rivlin, "Localization and Homing Using Combinations of Model Views", AI, Vol. 78 No. 1-2, 1995, pp. 327354.
Landmark Selection for Vision-Based Navigation - Pablo Sala Student (2006) (Correct)
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R. Basri and E. Rivlin, "Localization and homing using combinations of model views," Artif. Intell., vol. 78, no. 1--2, pp. 327--354, Oct. 1995.
Using an Image Retrieval System for Vision-Based Mobile.. - Wol Fram Burgard (2002) (3 citations) (Correct)
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R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78(1-2), 1995. 108
Landmark Selection for Vision-Based Navigation - Sala, Sim, Shokoufandeh.. (Correct)
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R. Basri and E. Rivlin, "Localization and Homing Using Combinations of Model Views," Artificial Intelligence, vol. 78, no. 1--2, pp. 327--354, October 1995.
Using an Image Retrieval System for Vision-Based Mobile.. - Wol Fram Burgard (2002) (3 citations) (Correct)
No context found.
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78(1-2), 1995. 108
Improving 3D Object Recognition Based on Algebraic.. - Li, Bebis, Bourbakis (Correct)
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R. Basri and E. Rivlin, "Localization and homing using combinations of model views," Artificial Intelligence, vol. 78, pp. 327--354, 1995.
Homing by Parameterized Scene Matching - Franz, Schölkopf, Bülthoff (3 citations) (Correct)
No context found.
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78:327 -- 354, 1995.
Homing by Parameterized Scene Matching - Franz, Schölkopf, Bülthoff (3 citations) (Correct)
No context found.
R. Basri and E. Rivlin. Localization and homing using combinations of model views. Artificial Intelligence, 78:327 -- 354, 1995.
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