Multiscalar rock recognition using active vision

Crida, R.C.; Jager, G. de

doi:10.1109/icip.1996.560827

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Cited by 4 publications

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“…A technique based on the shadows surrounding a rock is presented by Wu et al [3] but it is quite sensitive to light conditions and rock texture. A multiresolution system is presented by Crida et al [4,5] based on 12 features and on the knowledge of rock characteristics. Experimental thresholds for each feature have to be chosen.…”

Section: Previous Researchmentioning

confidence: 99%

A New Approach to Identify Big Rocks with Applications to the Mining Industry

Cabello¹,

Sanchez

Delgado³

2002

Real-Time Imaging

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Section: Previous Researchmentioning

confidence: 99%

A New Approach to Identify Big Rocks with Applications to the Mining Industry

Cabello¹,

Sanchez

Delgado³

2002

Real-Time Imaging

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Autonomous image analyses during the 1999 Marsokhod rover field test

Gulick¹,

Morris²,

Ruzon³

et al. 2001

J. Geophys. Res.

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Abstract. A Martian rover capable of analyzing images autonomously could traverse greater path lengths and rerum data with greater scientific content. A more intelligent rover could, for example, automatically select targets of interest (e.g., rocks, layers), return spectral or high-resolution image data of these targets at the same time, remove less interesting or redundant parts of images before transmitting them, and provide compact information or representations of its environment. Three prototype algorithms, a horizon detector, a rock detector, and a layer detector have been developed and tested during the 1999 Marsokhod rover field test in Silver Lake, California. The results are encouraging and demonstrate the potential savings in time as well as the potential increase in the amount of relevant science data returned in each command cycle.

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